{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Getting started with DoWhy: A simple example\n",
    "This is a quick introduction to the DoWhy causal inference library.\n",
    "We will load in a sample dataset and estimate the causal effect of a (pre-specified)treatment variable on a (pre-specified) outcome variable.\n",
    "\n",
    "First, let us add the required path for Python to find the DoWhy code and load all required packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os, sys\n",
    "sys.path.append(os.path.abspath(\"../../../\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check the python version. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.6.6 (default, Sep  3 2018, 20:31:24) \n",
      "[GCC 5.4.0 20160609]\n"
     ]
    }
   ],
   "source": [
    "print(sys.version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import dowhy\n",
    "from dowhy import CausalModel\n",
    "import dowhy.datasets "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let us load a dataset. For simplicity, we simulate a dataset with linear relationships between common causes and treatment, and common causes and outcome. \n",
    "\n",
    "Beta is the true causal effect. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         X0   Z0        Z1        W0        W1        W2        W3 W4     v0  \\\n",
      "0  1.418641  0.0  0.251127  0.237823  1.294957 -2.197657  0.671354  1   True   \n",
      "1  0.050088  0.0  0.041706 -1.199278  3.143332 -1.738985 -2.766051  1  False   \n",
      "2 -0.480051  0.0  0.974275 -1.957273 -0.065116  0.175567 -1.829176  1   True   \n",
      "3  0.338169  1.0  0.727792 -0.245409  0.099252  0.998839 -0.870295  0   True   \n",
      "4 -1.026205  0.0  0.983040 -0.147827  1.538178  0.441017  0.343857  2   True   \n",
      "\n",
      "           y  \n",
      "0  19.477585  \n",
      "1  -5.857091  \n",
      "2   2.179680  \n",
      "3   7.307447  \n",
      "4  15.688496  \n",
      "digraph { U[label=\"Unobserved Confounders\"]; U->y;v0->y; U->v0;W0-> v0; W1-> v0; W2-> v0; W3-> v0; W4-> v0;Z0-> v0; Z1-> v0;W0-> y; W1-> y; W2-> y; W3-> y; W4-> y;X0-> y;}\n",
      "\n",
      "\n",
      "graph[directed 1node[ id \"y\" label \"y\"]node[ id \"Unobserved Confounders\" label \"Unobserved Confounders\"]edge[source \"Unobserved Confounders\" target \"y\"]node[ id \"W0\" label \"W0\"] node[ id \"W1\" label \"W1\"] node[ id \"W2\" label \"W2\"] node[ id \"W3\" label \"W3\"] node[ id \"W4\" label \"W4\"]node[ id \"Z0\" label \"Z0\"] node[ id \"Z1\" label \"Z1\"]node[ id \"v0\" label \"v0\"]edge[source \"v0\" target \"y\"]edge[source \"Unobserved Confounders\" target \"v0\"]edge[ source \"W0\" target \"v0\"] edge[ source \"W1\" target \"v0\"] edge[ source \"W2\" target \"v0\"] edge[ source \"W3\" target \"v0\"] edge[ source \"W4\" target \"v0\"]edge[ source \"Z0\" target \"v0\"] edge[ source \"Z1\" target \"v0\"]edge[ source \"W0\" target \"y\"] edge[ source \"W1\" target \"y\"] edge[ source \"W2\" target \"y\"] edge[ source \"W3\" target \"y\"] edge[ source \"W4\" target \"y\"]node[ id \"X0\" label \"X0\"] edge[ source \"X0\" target \"y\"]]\n"
     ]
    }
   ],
   "source": [
    "data = dowhy.datasets.linear_dataset(beta=10,\n",
    "        num_common_causes=5,\n",
    "        num_instruments = 2,\n",
    "        num_effect_modifiers=1,\n",
    "        num_samples=10000, \n",
    "        treatment_is_binary=True,\n",
    "        num_discrete_common_causes=1)\n",
    "df = data[\"df\"]\n",
    "print(df.head())\n",
    "print(data[\"dot_graph\"])\n",
    "print(\"\\n\")\n",
    "print(data[\"gml_graph\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that we are using a pandas dataframe to load the data. At present, DoWhy only supports pandas dataframe as input."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interface 1 (recommended): Input causal graph"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now input a causal graph in the GML graph format (recommended). You can also use the DOT format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_model:Model to find the causal effect of treatment ['v0'] on outcome ['y']\n"
     ]
    }
   ],
   "source": [
    "# With graph\n",
    "model=CausalModel(\n",
    "        data = df,\n",
    "        treatment=data[\"treatment_name\"],\n",
    "        outcome=data[\"outcome_name\"],\n",
    "        graph=data[\"gml_graph\"]\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.view_model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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j+IQJE0BE2L17d61zIiMjMXPmzBrHVq9eDVdXV+Tm5gL4u3PQ1dUVCoVC65o1rFq1Cg4ODqisrNRZHUDr8F/D/fv3ua2wdA3z/x9CQ0Px6quvIiIiAnK5HEZGRiAibNmyReuaNbQF/6tz4sQJDB8+vM5ZQZoHxvHjx3N/d/loc6rT3v3X0JJtTnXagv/aan+uXLmCCRMm4PDhw/jrr78wffp0EBGeffZZrWvWwPyvm7Nnz0Iqler82bgB/58c4P7+++8wMTHBsGHDkJ6erjuFWqC+hqWqqgpEpJNplV27dm1TwU1D16NSqTBw4EBYWlo+MT358ePH8fLLL+tMX5cuXXRS9tPS1u6BxqBWqxEeHg6hUIhly5a1SJ0zZszA4MGDdVJ2Tk4OpFIpnJ2da7QTiYmJICI899xztc6ZOXMm/vzzT+7ne/fuQSwW4z//+U+Nz33wwQcwNjbWWTr/5ORkEBF+/fVXnZSvQd/9f5yWethk/v/NgwcPMG3atBqf+eWXX0BE6NSpk050A23D/+pERUXh6NGjtY5fuHABhoaGcHJyQlZWFgD+2pzqtGf/H4ePALct+K+t9l+hUNTIB1RRUQFzc3PIZDKd6AaY/3WRm5uLlStXokuXLjp/Nm7A/7oD3KSkJMhkMrzyyis675nQBg01LLoyua0FNw1dz8GDB0FE2LBhQ73lfPvtt9qWBgAwNjZu8T8gDdHW7oGm8MUXX0AoFOp0hEaDu7s7Vq9erbPyp02bBiLCTz/9xB1TqVTcCP3t27e548XFxejdu3eNXvx169aBiGrNKDh16hSICOHh4TrT7uHhgX//+986Kx/Qf/8fpyUfNpn/QHx8PB49elSjTLVaDRsbG5iamupMN9A2/NdQWFhYayZaSUkJvLy8IBAIajzI8dnmVKe9+v84fAS4QNvwX9vtP/B3gCuTySCXy3WmG2D+V0etVmPx4sXIz89vsWfjevz/WkiPAYCmT59OvXr1oj179pBYLH78I60WAPTDDz9QSEgIdejQgfLy8mjmzJlkbW1N3bt3p3PnznGfLSgooKVLl9K7775LS5Ysoeeff56WLFlCeXl5tcq9desWjR07liwtLalv3750/Phx7r2EhATq378/zZ07l5YuXUoikYiKioqIiEipVNKGDRto9uzZ5OfnRwEBAXT58mVSqVR04sQJWrRoEbm5uVFqaioNGzaMOnbsSNu3bycrKysSCAS0atUqrp5t27aRUCik7du311u2htLSUlqyZAmFhITQqlWraPny5VRSUlKvf4cPHyYioueee67ez02aNKlRPjb2+/jxxx9p3rx5VFpaSunp6TRv3jyaN28eFRcXN/g9RUZGkkAgIIFAQEREhYWFtGnTJu5YU+6Jxnj2NN9pXl5evfeJvvL666/T6tWradmyZXTz5k2d1ZORkUF3796lgQMH6qyOmTNnEhHRzp07uWPHjx8nmUxW6/i3335L48aN4+4pIqKTJ08SEVGHDh1qlOvi4kJERBcvXtSNcCIaNGgQ/fnnnzorvzX4zyfMf6LBgweTg4NDrXIrKipoyJAhupJNRG3Dfw2mpqYkFNZ8LFu8eDFdu3aNli1bVuNvL59tTnXaq//6QlvwX9vtv1qtpvfff58UCgUpFAodqf4b5v8/bN26lV5++WUyNzfXmdbHqdf/x0Peo0ePQiAQ1EjWpO9QI0dw1Wo1UlJSIJPJQET44IMPcO/ePezZswdEhH79+gH4uxfP09MTYWFhXBkZGRnw9PSEu7s7tz5D00OxcOFCxMTE4LPPPoOxsTGEQiEuXrwIAPD09ISlpSXXKzh58mRkZGQAAObMmYNr165xdYwcORJ2dnbIzMzEH3/8wc1h/89//oPY2FjMnj0bRUVF3FqQn3/+mTv3/v37mDp1Kvfzk8ouKChAZWUl+vXrhzlz5nC9MLdv3+YSKDwJPz8/EFGjM0c35GNubm6jvg8Nj3/Pjf2ePDw8al2X5lhj74nGeva032l994k+U1VVha5du+LNN9/UWR1nzpwBEel0Y/Oqqio4OTlBLBZzI1FTp07F8ePHIZPJYG9vzyVTGDp0aK21MD179gQRobS0tMbxkpISEJFOk4+sWbNGpyMHrcH/x2nob4I2Yf7XzcmTJ2FkZITExESd6Qbahv9P4ttvv+X2JC8vL6/xHp9tTnXaq/+P05JtTnXagv/abH8OHz6MIUOGgIjg5uaGHTt26CzRHcD813Dq1Cls2rSJ+7mlRnDr8b/2FOWlS5eiT58+OhelTRob4Gp4fG64Wq2GnZ0dDAwMAPydWYyIkJaWVuO8qKgoEBGXyUzzBRYUFHCfUSgUICJuryobGxsQET799FOo1WpcvHgR+fn5OH36NJel7PHXkSNHaujMycmpoaO8vBwuLi4YO3Ysd2zVqlX466+/AKDBsrdu3QoiqtWJ4enpWe8N2b9//zp9eRKN9bGh70PD499zU7+n6jx+rCENjfGsOd/pk+6T1kBYWBi6deums/J/+uknEJHO9+ENDQ3lpvbl5OSgT58+UKvVmDVrFogIhw4dwq1btzBw4MBa52r+oCqVyhrHS0tLQUQ6bVM/+eQT2NjY6Kz81uD/47TkwybzvzaVlZUYOnQovvrqK51qBtqO/49z//59WFhYQCaT4caNG7Xe57PNqU579f9x+Apw24r/2mp/cnNzceXKFWzdupUbUPjyyy91ppv5//e+tLNmzaoxvb+lAtx6/K89RTknJ4fs7OweP6zXiMViUqvVdb5XVVVFEomkxrHHh9YFAgFZWlpSRUUFERH98ccfRPT3dJXqDB06lIiITp06VeO4mZkZ9/8JEyYQEdHVq1eJiOjTTz8lExMTmj9/Pvn7+1N5eTmZm5tTQkICeXt7E4Bar8DAwBo6raysatRnYGBACxcupB9//JGSk5OpoqKCbty4Qb179yYiarDsmJgYIiJyd3evUe7jU3Mex9vbm4iIrl27Vu/nNDTWx4a+j+aW3xga0tAYz5rznT7pPmkN2NvbU1ZWls7KVyqVRERkZGSkszqIak7T2bt3L73yyiskEAhozpw5RES0fft22rVrF7366qu1zu3WrRsREeXn59c4rpkq7+TkpDPdJiYmDS4vaA6twX8+Yf7XZvXq1fTcc8/R1KlTdaqZqO34X52qqip69dVXKT8/n7Zu3UpdunSp9Rk+25zqtFf/9YW24r+22h9LS0vy9vamBQsWUGRkJBER7d69W2e6mf9E8+fPp+nTp9PNmzfp+vXrdP36dSovLyciouvXr1NycrLOdNfnf62IxsPDg65cufLEgFEfcXNzo4KCgjrfy83NJWtr6yaVpwla7t27V+O4vb09EVG9gYfmMx07diQiosmTJ9OFCxfo+eefpz///JMGDRpEu3fvppycHLp7926dX4xKpWpQ45w5c0gmk1FERAR9//33NHnyZO69hspOTU3lPtcUhg0bRkREp0+fbtTnm+OjPpRfncZ41pzv9En3SWvg4sWL1LlzZ52Vb2lpSUS1H+S0jZeXF/Xt25du375Na9eu5RryAQMGkLe3N8XExNAXX3xBU6ZMqXWuj48PERGlpaXVOP7o0SMi+nuNoq7Iycmp1WGiTVqD/3zC/K/JkSNHSCaT0fvvv69TvRraiv/VWbduHZ08eZKCgoLotddeq/V+eno6r21Oddqr//pCW/FfF+3/+PHjiejvQSFdwfwnio6OpmeffZa8vLy4l+a53MvLi0aNGqUz3fX5XyvAffnllyk1NZUOHDigM0HaxtfXlzIzM+nu3bu13ouLi2tykgvNCOBPP/1U43hKSgoREQUEBDzxXM1nNCN277//PnXq1In+97//0VdffUVVVVW0YsUK6tatG5eQqDpXr16liIiIBjWam5vTnDlz6IsvvqD9+/fTxIkTufcaKlvT8/v49TXE9OnTqU+fPvTxxx/X+qOqoaysjHbt2kVEzfOxMTS2fM2oqaZHSa1Wcx0iABpVV2M8a853+qT7RN959OgRffXVVzodqdF0UOlylFiDphezb9++3AiIQCCg2bNnEwDy8/MjW1vbWucFBweTubl5jQRzRES//fYbSSQSmjZtms40Z2VlNbkTrym0Bv/5hPn/DzExMZSamkrvvvtujeNNmU3TVNqS/0RE8fHxtGbNGnJxceGSJFZHrVbTokWLeG1zqtNe/dcX2pL/2m7/NZ09o0eP1r7Y/4f5//dz/+OzFrt27UpEfz9j3759W2ea6/W/ronLISEhsLa2rpEaWp+5ceMGDA0N4evriwcPHgD4e53qkSNHYG9vz61N1eDq6solGNLg5OQEIkJFRQVKSkrg4+MDZ2fnGus75XI5Bg0axC227tatW431lGq1GvPnz8e4ceO4sqVSKbcJe0VFBczMzNC3b18olUq4u7uDiDBr1izs3bsXK1euxMiRI7k1vRqdRUVFdV73nTt3IBQKsXbt2hrHGyr7/PnzEIlEsLKywtGjR1FaWopjx47B1NQURIQ7d+480eurV6+iY8eOcHd3x6FDh7htpEpKSnDs2DE8++yz3P5YjfWxoe8D+HuvLiKCu7s795nGlq/ZsHrVqlW4efMmNm/ezKU/P3r0KKqqqhrU0BjPmvOdPuk+0WfKy8vx7LPPwtPTU6frQ0pLS2FgYNAi6/mys7MhkUjwzTff1DiemZkJiUSC/fv3P/Hc8PBweHp6orCwEABQUFCAzp0763x7i1GjRuHVV1/VWfmtxX8NmiQ7nTt31pXMGjD//yY2NhYjRozA1q1budeWLVuwaNEirFy5Umea25L/ubm5cHFxgVAoRFxcXK331Wo1tm7divHjxwPgr82pTnv2X0NLtznVaUv+N6f92bRpE3bu3MklF1UqlRg/fjymTJlSa+snbcL8r5uWWoNbj/9174NbXFwMPz8/uLi44Pr167pVpyWuX7+OSZMmwd3dHW5ubnB1dUVQUBAuXbpU43MRERFc4p+1a9ciPz8fH330EXcsNDQUpaWlKCwsxNKlSzFy5EgsWbIES5cuxZo1a1BWVsaVFRMTg8DAQAwbNgxz5szB22+/jYiIiBqbJRMRevfujfXr12PatGkYM2YMF0DevXsXY8eOhaWlJezt7TF37lxkZmaiuLgYq1ev5jTNnTu3VpCuYeHChXVu6P6ksjXExcVh0KBBMDExgYeHB9avX48hQ4bgjTfewK+//lrjGh6nsLAQ4eHhGD16NNzc3ODj44OePXtixYoVtbQ05GNjvo8zZ87gjTfeABFBIBDg3//+Ny5cuNCo8oG/O0D69esHY2NjjBw5Ejdu3MDgwYMxffp0fP3119i0aVOj7onGePa032l994k+UlJSgrFjx8Lc3PyJ96Y26devHxYsWKDzegBg9uzZtTKT1ndcg1qtxs6dOzF9+nSsWLECkydPxvbt23WawVGlUsHCwgIRERE6qwNoHf4DwG+//Ya5c+eCiCAWi7FhwwacP39eV1KZ//9P9Qzxdb2Sk5N1orWt+a/Zj9LS0hJjxoyp8QoICICbmxuICEuWLAHAT5tTnfbuP9DybU512pr/wNO3/2FhYejUqRMsLCwwb948yOVyxMbGsr+/TaQ5f3+r0xIBbgP+1x3gAn/3ZA0YMABmZmY4ePCg7hQyGIxWxfXr19GjRw9YW1tzo/W6Zvny5XB1ddVpT2xr5NixYyAiXL16Vaf1MP/rhvnPL8x/fmH+8wvzn1+Y//zSgP+1syhrsLS0pBMnTtCrr75KQUFBNHnyZC7RDoPBaH+Ul5fT2rVrqVevXiSVSikxMZEGDBjQInW/9tpr9ODBAzp27FiL1Nda+Pzzz2nAgAHk5eWl03qY/3XD/OcX5j+/MP/5hfnPL8x/fmnQ/8ZEySdOnEC3bt1gbGwMuVyOjIwM7YbhDAZDb1GpVDhw4AA6deoEqVSKsLCwBje91wWDBw/Giy++2OL16iv379+HkZERdu7c2SL1Mf9rwvznF+Y/vzD/+YX5zy/Mf35phP9PnqL8OEqlEps3b4atrS1MTU2xZMhGuMwAACAASURBVMkS3L9/XztKGQyG3lFSUoJPPvkEnTp1gkQiQUhICFJSUnjTc/z4cRARYmNjedOgTwQHB8Pd3b3GenNdwvyvCfOfX5j//ML85xfmP78w//mlEf43PsDVUFhYiI0bN8LFxQVisRiBgYE4ePBgi33JDAZDt/z555+YP38+LC0tIZVKMX/+fL3JqD569Gj06NGj3bc3f/zxB4RCYa1sh7qG+f83zH9+Yf7zC/OfX5j//ML855dG+t/0AFdDRUUFvvnmG7zwwgsQiUSwtLTEvHnzcOrUqactksFg8MT9+/fxwQcfcJnvfHx88N///rdG5m19IDk5GWZmZli0aBHfUngjPz8f7u7uePHFF1ssW6oG5j/zn2+Y//zC/OcX5j+/MP/5pQn+P32AW53U1FR8+OGH6N69O4gInTp1wqJFixATE8PLWj0Gg9EwFy5cwH/+8x/4+/tDKBTC1tYWcrkciYmJfEurl71790IgELTL7O5VVVUYP348HB0deet8YP4z//mC+c8vzH9+Yf7zC/OfX5rov3YC3OokJiYiNDQUPXr0ABHBxMQEEydOxM6dO5GWlqbt6hgMRiMpKSlBdHQ03njjDbi4uICIYG9vj1mzZiE6OhoVFRV8S2w0b7/9NgwNDfHbb7/xLaVFCQkJgVQqxcmTJ3nVwfxn/vMB859fmP/8wvznF+Y/vzTRf+0HuNW5d+8etm3bhjFjxkAqlUIgEKBHjx5466238PXXX+Phw4e6rJ7BaNcUFRUhJiYG7733HoYPHw4jIyMIhUL4+fkhLCwMCQkJrXZfNZVKhVdeeQVmZmY4ceIE33J0jkqlwqJFiyAWi/HDDz/wLYf5rwd6mP/86mH+86uH+c+vHuY/v3qY/w2i2wC3OqWlpfjpp5+wZMkS9OvXD2KxGEQEDw8PzJw5Ezt37sT169dbSg6D0ebIyMjA4cOHsWjRIvj5+XG/Y507d8Zrr72GL7/8Eunp6XzL1Brl5eWYMmUKDA0NsX//fr7l6IyysjK88sorMDAwwNdff823HA7mP78w//mF+c8vzH9+Yf7zC/O/QVouwH2ckpISxMfHIzw8HIGBgTA3NwcRwczMDP7+/pDL5YiKikJSUlKrHWViMHRFbm4u4uPjoVAoEBwcDG9vbwgEAgiFQnh7eyMkJARRUVG4d+8e31J1ikqlwsKFCyEUCrF8+XJUVlbyLUmr3L17FwMGDIBUKsWAAQPwxx9/8C2pBu3Ff3Nzcxw7doxvObVg/vML859fmP/8kZycjLfffhsGBgbMfx64e/cu3nzzTYjFYuZ/3fAX4D5ORUUF/vzzT0RERGDWrFno1asXJBIJiAimpqYYMmQIFi5ciF27diEhIQFFRUV8S2YwdE5lZSWuX7+OQ4cO4f3330dgYCCcnJxARCAiuLu7Y9KkSVi3bh2OHj2K/Px8viXzwo4dO2BsbIyBAwciOTmZbzlaYf/+/bCwsECPHj0QGRmJvn37gogwePBgfP/993rV8ddW/Tc1NYW3tzeuXr3Kt5x6aav+a+5/5n/Lw/znF331/+zZs5g8eTKEQiEsLCwgFosxaNAg5n8L8ddff2HixIkQCoUQiUQQiUSYO3cu8782+hPg1kVZWRkSEhIQGRmJkJAQ+Pn5wdDQEEQEgUAAV1dXjBo1CkuWLMH27dtx8uRJ5OTk8C2bwWgySqUS58+fx9dff4333nsPkydPho+PDwwMDLj73dPTEy+//DI2bNiA2NhY5Obm8i1br7hy5Qp69OgBqVSKtWvXttq94m7fvo3Ro0dDIBBg3rx5KC0t5d6Lj49HUFAQRCIROnXqBIVCgZKSEh7V/kNb9N/GxgY2NjbYsWOHXnUo1EVb9P/x+1+fYf7zC/Nft8THxyMwMBBEBBcXF5iamsLa2hrh4eEoKytj/uuY+Ph4jBgxAkQEoVAIqVSKBQsWICUlBQC7/+tAvwPcuqiqqsLNmzfx/fffY/369ZgxYwb8/PxgYmLCjWrZ2dlhyJAhmDlzJtasWYO9e/fi1KlTbWr9IaP1UVhYiAsXLuDw4cPYuHEjxo0bh169eqFjx44QiUQgIkgkEnTt2hUvvfQSVqxYgb179yIxMVFvghh9p6KiAuHh4ZDJZPD09MS+fftQVVXFt6xGkZGRgaVLl8LIyAjdu3evN3nErVu3IJfLIZVKYWtri7CwMGRlZbWg2rppa/7n5+cjNDQUBgYG6NOnj95NEX+ctuZ/a4P5zy/l5eUYN24cpFIp818LVFRU4MCBA/Dz8wMRoWvXrnBwcICxsTFCQ0NrzRhj9792UalUiI6OhpeXFxffODk54aOPPqrzmZD5X4PWF+DWx7179/DLL79g8+bNmD9/PkaNGgVPT09uFIyIIJPJ0KNHD4wfPx6LFy/Gli1b8N133+HMmTNITU3V+156hv6Sk5ODy5cv46effsKOHTuwcuVKTJ06Ff3794etrS13DwoEAjg7O8PZ2RkCgYBbez506FCsWrUKR44cQUZGBt+X06p58OABZsyYAbFYjG7duiEqKgpKpZJvWXVy//59/Otf/4KxsTHs7OygUCgavWXTo0ePsGLFClhZWUEmk+Gtt97Si2R9rdF/mUwGe3v7Ov2/fv06nn/+eQgEAgQHB+t9Z2lb87+1wfxveTIyMjBmzBiIxWJu8IP5/3Tk5+dj48aN6NixIyQSCZ577jl4eXlBKBQiKCiowdwe7P5vHgUFBdiwYQOsra2558YBAwbg6NGjUKvVDZ7P/AfQ1gLcJ1FVVYV79+7ht99+w86dO2sEHvb29twNREQQi8Xo0KEDBg0ahMmTJ2PhwoXYuHEjvvrqK8THx+P69evIy8vj+5IYLUhJSQnu3buH06dP4/vvv8eWLVvw7rvvIjg4GMOHD0eXLl0glUpr3EempqZcR8qiRYuwZcsW/Pjjj7h69WqNhqaiogLnzp2rkSxKKBSCiODo6IjAwECEhYUhOjqaTb9/Cm7evIkZM2ZAIpHA2toaS5YswZUrV/iWhYqKCkRHRyMwMBAikQiOjo7w8PDAkCFDnmrqeVFRET7++GN4eHhAIBBg1KhR+PHHH3nvsGtN/m/atKnBmRLR0dFwdXWFhYUFFAqF3if1aGv+tzaY/y1DbGwsnJyc4Orqit9//507zvxvGrdv34ZcLoepqSnMzMwwY8YMjBkzBkSEgIAAXLx4sUnlMf+bxp07dzBt2jQYGBhAIBBAJBJh4sSJuHTp0lOV1879bx8BbkOUlZXhzp07iI+Px1dffYWNGzdi4cKFmDx5MgYNGgRnZ2duyxXNy8DAAM7OzujduzdefPFFzJgxA0uWLMGHH36IXbt24aeffsLZs2dx69YtZGdn8/6gyfiHgoIC3Lt3DxcuXMCxY8ewb98+KBQKrFy5ErNnz8a4ceMwcOBAeHh4QCaT1fjeiQi2trbo2bMnAgMDMW/ePKxZswa7du1CTEwMrly5gsLCwmbrq54h2d3dnavb0dERQUFBUCgUiI+P15v1IfrOo0ePsG7dOri5uYGI4OXlhVWrVuHcuXMtNoWnsLAQ33//PWbMmAFLS0sIBAIEBATg4MGDqKioQFJSEjp27IjOnTvj1q1bT1WHSqVCbGwsAgMDIRAI4OHhgfDwcN47R1qD/42lpKQEYWFhMDQ0RLdu3RATE6ND1dqhLfnfGmH+6walUonQ0FBuZPFJnYPM//o5d+4cgoODIRaL4ebmhuXLl2PmzJkQiUTw8/PDb7/91qzymf/1c+LECQwYMICb0WdtbY33338fmZmZWim/nfr/tQAAiNEgKpWKMjIyKCsri9LT0ykrK4uysrIoIyODMjIyKDs7mzIzM7n3lEplrTLMzMzI0tKSLCwsyNLSssb/Nf/KZDIyMTEhc3NzkkqlZGxsTBYWFjX+314pKSmh0tJSKioqoqKiIlIqlVRcXEyFhYVUWlpKJSUllJ+fT3l5edxL8/ODBw+oqqqK8vPzSa1W1yhXLBaTra0t2drakr29PdnZ2ZGtrS3Z2dmRg4MD2djYkK2tLTk4OJCDgwMZGRm1+LWnpaVRYmIi9zp9+jRlZ2eTWCymLl26kK+vL/fq378/SSSSFtfYGlCr1XTy5Ek6fPgwfffdd/TgwQMyNzenwYMH05AhQ6hPnz7k4+NDTk5OzaqnqqqKbt68SUlJSXT69GmKj4+nCxcukFqtpkGDBtFLL71EL730Erm6utY479GjRxQYGEhpaWn0448/kq+v71NruHXrFn3++ee0fft2UiqVFBQUREuXLqUePXo069qaA5/+nz9/ntRqNfn7+z/R/6Zw+/ZtWrhwIf38888UGBhIn3zyCXXs2LFZunUN3/e/SqWiQYMG0aRJk5rtf2uEb/8ban9aE9euXaNp06bRnTt3KCIigoKDgxs8h/n/D5WVlfT999/T5s2b6fTp0+Tr60shISH08OFD2rhxI9na2tLKlStpzpw5JBQKtVIn8/8fKisrafPmzfTRRx9RRkYGCYVC8vPzo9WrV9OoUaNIIBBovc525v83LMDVEcXFxZSVlVUjyKoefD1+TPNvSUkJFRcX11u2sbExSaVSMjc3J5lMRgYGBmRgYEAymYyIiMzNzUkoFJKRkRFJpVIiIrK0tCQiIqlUWiNAEwgE9QbNJiYmTwyW8vPz6Um3T0lJCVVUVHA/q1QqKiws5LyprKykqqoqKioqIiKiwsJCUqlUVFFRQSUlJQSA8vPzqbS0lJRKJRUUFNTriaGhIclksjo7EIRCIUVFRRER0XPPPUdTp04lT09P7nO2trb1lq2vaILeP/74g06ePEnnz5+n0tJSMjExoZ49e9YIer29vXXSYLZmAFBSUhLFxcVRfHw8nTx5ktLS0oiIyMrKirp06UKOjo7UoUMHsre3JzMzMzI0NCRjY2MyNDSkoqIi7h4uKCighw8fUkZGBt2/f59u3bpFFRUVJBaLydvbm4YNG0ZDhw6loUOHkp2dXb26iouL6eWXX6a4uDj65ptvKDAwsFnXWVhYSFFRURQREUG3bt2iESNG0IIFC2js2LEkFoubVXZzaGn/L126RNevX6fr169rtaPwyJEjtGjRIkpPT6elS5fS8uXLydDQUGvl64qW9t/Hx4cWLlxI//73v+ndd9/l+er5pz7/LSwsqFu3bry0P/oOANqxYwctXryYunfvTvv27aPOnTs/VTn62P7rmuzsbNqxYwdFRERQZmYmTZ48md5++21KSkqi9957j6qqqmjZsmW0aNEinbZj7dX/y5cvU2hoKMXGxlJVVRVZWlrS3LlzaeXKlWRmZtZiOtqB/yzA1Vc0o5KlpaU1Ar38/HwqKSkhpVJJhYWF3E1WVlbGjRrn5eUREVFpaSmVl5eTWq3mAsTHA09NQPkkNGXVhSa4rovqATdRzUBa8wsiFArJ3Ny8RllisZhMTU2JiGqNXBsbG5OxsTGZmZmRiYkJGRsbc6PdDfUwFhUV0RdffEGbNm2i9PR0euWVV2jZsmXUvXv3es9rTVRVVdGNGzdqjPSeO3eOysvLydzcnLp3706+vr40ePBgGjp0KNnb2/MtWe/IycmhS5cu0dWrV+n27duUnp5ODx8+pMzMTCosLKTy8nLud0jT+WNqakpmZmbk7OxMDg4O5OLiQt26dSMfHx/y8vJ6qoeEqqoqWrBgAe3cuZO2bt1K8+fPb/a1AaCYmBjaunUrHT16lOzt7en111+nOXPmkLu7e7PL1wa69D8nJ4e8vb1pypQptHXrVq3qViqVtGXLFvrggw/I0dGRFAoFjR49Wqt1tARN9b+qqoosLCzIxsamUff/+vXrafXq1ZSYmEg+Pj48Xql+kp2dTT179iQvLy/q0aMHb+2PvpKVlUWzZ8+mn3/+mf71r3/R2rVrtTpbSV/af12QkJBAn3zyCe3fv5+MjIwoJCSE3nrrLTpz5gwtX76cUlJSaN68ebR69WreZgq2Vf+zsrJow4YNtGfPHsrMzCSBQEC9evWidevW0Ysvvsi3PI425v83bA0uo11RUVGBqKgo+Pj4gIjg7++P6OhovmXpDJbEqnUTHh4OgUAAuVyu1XX8Dx8+RHh4OFxdXSEUChEQEICoqKg2v6Z79+7dEAqFOtvuJyUlBcHBwSAiBAYG4s6dOzqpR1+wsLDAp59+2ujPV1ZWws/PD/37928121e0JHFxcSCiJifzaQ88KZEU48mUl5fjwIEDCAgIABGhW7duUCgUKC4uxh9//IFBgwZx65fv3r3Lt9w2RV5eHiIjI/HMM89wa2vNzc3x+uuvs10yWgaWZIrRPlGr1VwyHiJCnz59EBUV1S4eulgSq9bFrl27IJFIEBQUpPVU/5qkVEFBQRCLxbC0tERISAguX76s1Xr0ieeffx7du3dHeXm5zuo4duwYfHx8IJVKERYWprdbNDSX7t27Y9WqVU065+LFizAwMMDmzZt1pKr1MmvWLPTu3ZtvGXpFYxNJMf4hNTUVYWFhsLW1hUgkQmBgIGJjY6FWq3H58mWMHj0aRIQXXniBdaZokby8POzZswfDhw+HSCQCEUEkEmHAgAE4cuQI3/LaGyzAZTASExMRHBwMkUgEDw8PKBSKdhfYpaamIjo6GmFhYQgMDISNjQ23bZa3tzeCg4O5oJfvjIPtkV9//RXm5uYYMWKEzrYpS01NRXh4ONfh4evri8jISN63TtA2d+/ehUwmwwcffKDTeioqKqBQKGBmZoYOHTogKipKp/XxwahRo/Daa681+bywsDAYGxs/dbbwtkhpaSnMzc2hUCj4lqI3XL16Fb169YKZmRl2797Ntxy9Jz4+nuusdHBwQGhoKB48eAAAyM7Ohlwuh0gkgo+PD3788Uee1bYN0tLS8NlnnyEgIABisZgbrXV0dER4eDjbVpQ/WIDLYGjQ7AEnlUphZ2eHsLCwdj1tVxP0hoaGwt/fH8bGxiAimJiYwN/fH3K5HFFRUUhKSmrU5uOM5nH58mV07NgR3t7euHfvns7qqT6qK5FIYGFhgZCQkDbV079hwwYYGhri2rVrOq8rLS0NwcHBEAgEeO655/RiH0JtMXv2bIwcObLJ51VWVqJ3794YNmwYazv+n71790IsFiM9PZ1vKbyjVqsRGRkJY2Nj9OvXj3WE1ENhYSEiIyPRvXt3rmMyKiqK64hWKpVYv34919G2e/dutm1lM7l79y4UCgUCAgIgEokgFothYGAAoVCIUaNGcaPlDF5hAS6D8TgZGRkICwuDlZUVTExMIJfLcf/+fb5l8U5lZSWSkpIQFRUFuVwOf39/GBoacmtLNEHvgQMH8OjRI77ltklSU1PRu3dvODo64ty5czqv79GjRwgPD0enTp1qjOoWFxfrvG5dUllZiT59+rRogBUXF4dnnnkGEokEcrm82ftl6wNhYWHw8vJ6qnPPnz8PiUSCbdu2aVlV62TkyJEYP3483zJ4JzMzE2PHjoVIJEJoaCibMfQEbty4gdDQUFhYWMDIyAjBwcG4cOFCjc9ER0fDw8MDxsbGCA0NbRNtDl/89ddfeO+999CjRw8QEWQyGSwtLbl9ZcPDw1nnlH7BAlwG40kUFRVBoVDAxcWFWwOZkJDAtyy9giWxanmKiorw4osvwsTEpMWmmWlGdYODgyGVSmFubo6QkBD89ddfLVK/LkhISIBIJMIXX3zRYnWqVCpERUXBxsYGTk5OiIqKatU9/du3b4epqelTn//uu+9CJpMhOTlZi6paHw8fPoRIJMLhw4f5lsIrLJFU/ahUKkRHRyMgIAACgQCdO3dGeHg4srOza3wuISEBQ4YMgUAgQFBQkE5n/LRVlEolYmNjIZfL0bFjRxARbGxs4OHhAZFIxM1sio+P51sqo25YgMtgNIQm87JmClBbz7zcXFgSK91TWVmJuXPnQiQSNSmLrTbIyMjAhg0b4OnpCSJC//79sXPnThQVFbWoDm2waNEiWFlZtXjPe05ODuRyOYRCIYYNG4ZLly61aP3a4qeffgIRoaCg4KnOLysrg4+PD5599tlWHeg3l/Xr18PKygplZWV8S+EFlkiqflJTU7F27Vp06NABQqEQgYGB+OWXX2r9zjx8+BAhISEQCoUYMGAATp06xZPi1klqaiq2b9+OcePGwdjYGAKBAJ6enujduzdMTU0hEokwZswYHDx4sN3+rrYiWIDLYDSF+Ph4LvNy7969ERUVhcrKSr5l6T0siZX2UavVCAsLAxFBLpfzEiCcO3cOISEhMDY2hlQqRVBQUKtaf1RSUgJ3d3dMmzaNl/rPnTuHgQMHQiwWQy6XIz8/nxcdT8vFixdBRM1aV3z69GmIRCJ8/vnnWlTWuvDy8sKCBQv4lsELLJFU3ahUKvzyyy+YOHEixGIxrK2tsXTp0jq3HispKUF4eDhMTEzQsWPHVj8zpCVJSkpCeHg4/P39IRAIIJVK0bdvXwwdOhS2trbcs96HH36ItLQ0vuUyGg8LcBmMp+Gvv/6qlXm5rWWb1TUsiZV2+PLLLyGRSDBjxgydbn1TH9nZ2fj444/Rq1cvEBE8PT2xbt06pKSk8KKnKfz8888gIt62cVCr1YiKioKdnR2sra2hUChaTRKYnJwcEBFiYmKaVc7ixYthbm7eKu4XbXP69GkQUbtb/sISSdVNeno6wsPD4eHh0WA2e5VKhS+++AKOjo6wsLDAhx9+yNvfgNZCQUEBDh06hDlz5sDR0RFEBBcXF0yZMgXTpk3j8k24u7sjNDS0RRIRMnQCC3AZjOaQnJzMZV62tbVFWFhYrfUwjMbBklg9PbGxsTAzM8Ozzz7L+yhgUlISQkNDYWdnB6FQiICAAERFRel1B9DLL78MV1dXXqdZ5+Xlcdt4+Pn54c8//+RNS1MwNjZu9jrmkpISdO7cGWPGjNGSqtbD/Pnz4e3tzbeMFoUlkqqJWq2ukblek+OgvqULp06dQt++fSEWi/Hmm28iKyurBRW3Li5duoQNGzZg+PDhkEgk3N608+fPx6xZs9C1a1cQEdzc3BAaGorz58/zLZnRfFiAy2Bog+qZl2UyGeRyOUvsoAVYEqvGc+nSJbi4uMDHx0cvsn6Xl5cjOjq61kObPiblSE9Ph6WlJd555x2+peDChQsYPHgwhEIhgoODkZmZybekevH09MSaNWuaXc6JEycgEAiwd+9eLahqHZSXl8Pa2hobNmzgW0qLwRJJ/UNubi4UCkWtLPX1dQampaVx62yHDx/eprZv0xYlJSV1JoiaPHky3nnnHcyePZs77ubmhsWLF+PUqVNspljbggW4DIY20WRe7tixI5cM4uzZs3zLalOwJFZPJjU1Fb169YKjo6NeZThOS0uDQqHAM888o7fbKuzYsQMikahFtl9qDNHR0XBxcYGlpSUUCgWqqqr4llQnw4cPxxtvvKGVsubPnw9ra2u9ui90ycGDByEUCtvF1GyWSOofNLkLqmekf3yLn8epqKiAQqHg9rONiopqIbWtg+TkZG5vWkNDQwiFQvj6+mLJkiXYsGEDZs2axa2p9fHxwapVq5CYmMi3bIbu+FoAAMRgMLRKZWUlff/99/Tf//6Xzp07R/7+/hQaGkpjx47lW1qbJC0tjRITE7nX6dOnKTs7m8RiMXXp0oV8fX25V//+/UkikfAtWWcUFRVRUFAQ/fHHH3TgwAF68cUX+ZZUg8TERNq9ezft27eP8vPzacSIERQSEkITJkzg9XsBQAEBAZSTk0MJCQl6cY+UlJTQhx9+SOHh4eTl5UVbt26lwYMH8y2rBsHBwZSfn09HjhxpdlklJSX0zDPPkK+vLx04cEAL6vSbsWPHUmVlJf3yyy98S9Ep165do2nTptGdO3coIiKCgoOD+ZbU4mRlZVFUVBRt376dbt26RQMHDqQ33niDpkyZQlKptN5zf/31V5LL5XT//n1aunQphYaGNnhOWycnJ4eOHTtGMTExFBMTQykpKWRra0ujRo2iPn36UHl5OcXFxVFcXByVlZVR37596aWXXqKJEydSly5d+JbP0D3fsBFcBkPHVM+83KtXL5Z5uYVoz0msysvLMX36dIjFYkRGRvItp06USiUOHDiAwMBAiEQiWFlZISQkhNf1Tzdu3ICRkRE2btzIm4a6uHHjBl544QVuX0t9GvF799130atXL62Vd+zYMQgEAhw8eFBrZeojGRkZkEgk+Oqrr/iWojPaeyKpx/cPNzMza1Ibd+PGDYwePRpEhMDAQNy9e1e3gvWY8vJyHD9+HCtWrICfnx+EQiHEYjH8/f0RFhaG7du3Y9myZfD19QURQSaTITAwEJGRkXrVXjJaDDZFmcFoKTSZl8ViMdzd3Vnm5RamvSWxqr6NUGhoqF4H8SkpKQgPD6+xFk2hUPCSOGXNmjUwNjZGcnJyi9fdENHR0XBzc4NMJkNYWJheZEzdunUrbGxstFrmrFmzYGNjo/frj5vD5s2bYWZm1mb/BrTnRFK3bt3CihUr4OzsDIFAgKFDh2LXrl2N/q7z8vIQGhoKAwMD9O7du92uVU5OTkZkZCSCgoJgbm4OIoKHhwdCQkKwY8cOfPrppwgKCoKZmRn3nlwuR2xsrF60jQxeYQEug9HS3LlzB3K5HMbGxizzMs+0hyRWn3/+OSQSCWbOnNkqHjI169NMTExgaGiIwMBAHDhwoMW0l5eXw8fHB6NGjWqR+ppKaWkpwsLCYGRkhC5duuCXX37hVc/hw4chEAigVCq1VmZ+fj46dOiA6dOna61MfaNnz56YM2cO3zJ0QntMJKWZkRIQEACBQABHR0eEhobi5s2bjS5DpVJh+/btsLW1ha2tLSIjI/V27b0uyMrKwoEDBxASEgJXV1duxlVAQAA2bdqEffv2YenSpfDx8eHemzBhAiIjI/HgwQO+5TP0CxbgMhh8kZmZibCwMFhbW0MmkyEkJKRJfwwZuqEtJrGKiYmBmZkZnnvuOd63EWosBQUF2LlzJ4YOHQqBQABbW1vI4WGJzQAAIABJREFU5fIW2S/09OnTEAqF2Ldvn87relpu376NoKAgbvoiX1nbz549CyLC7du3tVrujz/+CCLCd999p9Vy9YHLly+DiPQyo3hzaI+JpM6dOwe5XA4rKysYGBhwHXJNXYaUkJCAfv36QSwWY+HChcjLy9ORYv2hsrIS586dQ3h4OPz9/SEUCiESieDr64vQ0FDs2bMH27ZtQ1BQECwsLGqM4EZHR6OsrIzvS2DoLyzAZTD4pri4GAqFAq6urlzm5TNnzvAti1ENzXresLAwBAYGwsbGBkQEsVgMb29vBAcHc0Gvvo6SXrx4ER06dED37t1bXW+3ZgqzZr/Cbt26ISwsTKfTiOfPn98qpsnGxsbCy8sLxsbGCAsL0+pIamNIS0sDESEuLk7rZb/66qtwdHRsc4HS4sWL4e7urtfLBprK1atX0atXL5iZmWH37t18y9EpOTk5iIyMRM+ePWtkhc/IyGhyWbm5udz+10OHDm3z2/5Un3ZcfWpxSEgI9uzZg2+++QYLFiyAp6cniAimpqYYP348tm3bppfLRhh6CwtwGQx9QaVSITo6Gn379gURwd/fH9HR0W3qIagt0RqTWD18+BA9e/aEk5NTq93MPikpCaGhobCzs4NQKIS/vz8iIyNRUFCg1XoKCgrQoUMHvP7661otVxdothAxNTVFp06dcOTIkRarW6VSQSKR6GS0Ozs7G/b29pg9e7bWy+aLyspKODg4aGXvYH2gvSSSKi8vx+HDhzFu3DhIJBJYWFhg/vz5T70NoFqtRlRUFGxtbeHg4ICoqCi9+TuhTapPO9bsPWtiYsIlgDpx4kSN7X2ICN7e3ggNDUVsbCwbpWU8LSzAZTD0keqZl3v27MkyL7cCWksSq9zcXAwfPhympqY4evQobzqaS1VVFZeh1NjYGEZGRlpfr3vo0CEIBALExsZqpTxd8/DhQwQHB4OIEBAQgGvXrrVIvR07dsSGDRt0UvaBAwdARLyvNdYW0dHREAgEbWI0qj0kkjp79iwWLFgAa2trCIVCBAQEYO/evc1anpKYmIgBAwZALBZDLpdrvXOOTzTTjsPCwuDr61tr2vG3336L3bt3Y8aMGXBwcAARwc7ODtOnT8eePXueahScwagDFuAyGPrM+fPnuczLbm5uLPNyK0Nfk1iVl5fj1VdfhVgsxvbt21usXl2Rl5eHqKgoLsGLZsshbaxxnDBhAjw9PVvNemsAOH78OLp37w4DAwPI5XIUFRXptL6BAwdCLpfrrPzJkyfD1dUVhYWFOqujpZg0aRKGDx/Ot4xmExMT02YTSaWmpkKhUKBXr14gInTt2hVhYWG4c+dOs8p9fDrypUuXtKSYP6qqqnD27FmEh4fj+eef52Yyde3aFQsWLEB0dDQuX77MjdJKJJIaAW98fDxUKhXfl8Foe7AAl8FoDVTPvGxjY4PQ0FCkpaXxLYvxFOhLEivNNkICgQBhYWE6q6eluX//PsLDw7k1XN7e3s16OE1LS4OFhQVWrFihZaW6pbKyEgqFAubm5nB2dkZUVJTO6goKCsKkSZN0Vn5WVhZsbW3x1ltv6ayOliAnJweGhob48ssv+Zby1LTVRFLV9+UWi8WwsLDgOsmaO3VYpVJx05EdHR1b/XTkK1euYMuWLZgwYQKX/Mne3h5Tp07Fjh07cP36dURHR+ONN96Ai4sLiAgODg6YNWsWDh061CY6qhh6DwtwGYzWRPXMy4aGhggODsaNGzf4lsVoJnwmsdq5cyfEYjFef/31NjXFUK1W4+TJk3jjjTdgaWnJTS+Miopq8ohmREQExGJxq1y3/OjRI4SEhEAoFGLEiBFISkrSeh2LFy9G//79tV5udfbs2dOqpovXxSeffAKZTNZqH/DbYiIpzbZkZmZmEIlEXBuhrc7FtjAdOS0tjVtHqwlYNdv3hIeH49y5cyguLkZ0dDSCg4O55FGatbRslJbBAyzAZTBaI2VlZYiKioKnpyfLvNxGackkVv/73/9gamqKkSNHtsoHsIYoKytDdHQ0goKCYGBgUGO9bnl5eYPnq1Qq+Pv7o1+/fq12X8qzZ8+iX79+kEgkWn/Q3rhxI5ydnbVW3pOYMGEC3N3ddT7lWlf069cPwcHBfMtoMtUTSfXv37/VJ5K6efMm3nvvPbi5uYGI0KdPHygUCq1mTM/Ly2u105EzMzO5gNbb2xtEBKlUCn9/fy75U0VFBbKysvD5559jzJgxMDQ0hFgsRkBAALZt28ZmmDH4hgW4DEZrRpN5uV+/fizzchtH10mszp49C3t7e/To0QMpKSk6uAL9IDs7G9u2bcPgwYMhEAhgbW2NefPm4ffff/8/9u48Lupq/x/46zMLDJssIqigIO4gmuKC4tYVMxVzuWJumIphpRfvLZO0cuymhS03qFzAJbFrGlYWrol6Vdwyl1xzCYQMAcEFBBSBef3+6Md8JVBZhvnM4Hk+HvwRzMx5DczYvD/nnPd55PvmzJkztLCw4GeffWbEtIZVV0sl169fT6VSWeeN8NLT0+no6MhXX321TsepCxcvXiQA7tq1S+4o1VJfGknduHGDS5cuZc+ePQmATZs25euvv84zZ84YfKyvvvqKjRs3pqurK//73/8a/PENLT8/n4mJiYyIiKCfnx8lSSq3TzYxMVF//FhhYaF+KbdaraZGo2FgYCCjoqJEgyjBlIgCVxDqi7LOy5Ikic7LTwhDN7FKSUlhu3bt6Obmxl9++cUIz0BeV69eZVRUFP38/AiA7u7uDA8Pf2hzqjfffJN2dnZmd47wXz3Y7KZbt261Xv2RlJREAEa5MLJy5UoqFAqDNBAzpjfeeINubm5mtQLA3BtJPdhp3crKihqNhsHBwUxISKiT/zcmJydz0KBBlCSJISEhzM7ONvgYhlBYWMikpCRGRkYyMDCQFhYW5c6jjY+P561bt/S3v3//Prds2cLx48fTxsaGarWaQUFB/Oqrr8x2NYVQ74kCVxDqm19++aVC5+X8/Hy5YwlG8tcmVl5eXtVqYnXz5k327duXDg4O/N///mf8JyCTs2fPUqvVsmXLluWaU/3222/629y7d4/t27fnkCFDZExqOCdOnGCvXr2oUChq9YH8ypUrBMAjR44YOGHlBg0axLZt2+pnlUxdaWkpmzVrZjaNysy9kdTDzsquq73PZedQ29jY0NfXlwcPHqyTcWqqpKSEx44d0xe0Go2mXEEbFxfH9PT0Cvc7ceIEZ8yYQWdnZ0qSxICAAC5ZsoQ5OTkyPAtBqBZR4ApCfXXlyhV952V7e3uGh4eLfTFPqOo0sSoqKuK9e/c4btw4WlhY8Msvv5Q7vtEdO3aM4eHhdHFxIQD6+fnpl+Dt3buXkiTxm2++kTumQeh0OsbFxdHV1ZVOTk6Mioqq9ixjUVERFQqF0X4nqamptLOz49y5c40yXm3t3LmTAIx2LnFtmGsjqbLVGB07diQAtmvXjlqtts7PG05KSqKPjw+trKyo1WqrtKffGJKTkxkTE8Pg4GB9p+PGjRszODiYMTExTE1NrfR+eXl5jI2NZdeuXfW/x0WLFvHKlSvGfQKCUDuiwBWE+i47O5uRkZFs0qSJvvPyhQsX5I4lyOxhTaxsbGz0+3lHjBhBSZI4f/58uePK4sEljra2tvouq3379qWrq2u5ZXzm7tatW4yIiKCFhQW7dOlS7VkoV1dXRkVF1VG6ipYsWUKVSsWff/7ZaGPW1IQJE+jv7y93jEcyx0ZSubm5+vOvFQoFHR0dDXb+9eOULfNXKBQcMmSI7AXg+fPnuXTpUo4ZM4aNGjUiADZs2JCjR4/m0qVLH/v//LJu0nZ2drS0tGRwcDATExNFPw/BXIkCVxCeFGWdl9u0aaPvvGysJYWC6XtUE6uycw5nzpxZ4yZW5q6wsFDfiVmtVlOSJHp4eDA+Pt5sG+9U5sKFC3zmmWf0+wgzMzOrdL8uXbrw9ddfr+N0/0en0zEwMJAdO3Y0mVmzyuTm5tLa2prLli2TO8pDmVMjqdLSUv1FJxsbG1paWlarI7ohxMfH08XFRd+oTQ6//vorly9fzrFjx7Jx48YEQDs7Ow4dOpQfffQRT5w48dijee7du8dVq1axS5cuBEAfHx9GRUVVqV+DIJg4UeAKwpOmrPNyjx49ROdl4ZHKmliFhoZSpVLR1ta2Vk2s6ovs7GxOmTKFAChJEhs1asRXXnmF+/fvrzfnPSYkJNDDw4MODg6Miop6bFOe5557juPHjzdSuj+lpKTQ1taWCxYsMOq41bFq1SpqNBqT3cdqLo2kyvbVlhVzZdsGjNnI6cKFC3z66aepVCo5c+ZMox6plpyczLi4OIaFhbF58+b61TaBgYHUarVMTEyscoGflZXFBQsW0NXVlRYWFgwJCeGBAwfq+BkIglGJAlcQnmQPdl7u2LEj4+LiTPrqvSCfn376iS4uLvTx8eF3331X4yZW9cmwYcPo5eXFd955h76+vvpOzP/617/qxbnUBQUF1Gq1tLS0ZLt27bhz586H3vaVV15h3759jZjuTx9//DFVKhVPnDhh9LGrom/fvhwzZozcMSowh0ZS165dY1RUlH6GsVmzZoyIiOClS5eMmqO4uJjvvfceNRoNO3fuzKNHj9b5mA8WtB4eHgRAa2vrGhW0ZS5evFihL0d9PhJOeKKJAlcQhPKdlz08PBgZGcnbt2/LHUswMSkpKWzbti09PT15/vx5/fer28SqvkhLS6OtrS3feecdkuS5c+eo1WrZtm1bAmDz5s0feeyQubh8+TKHDBlCAAwKCmJaWlqF2yxatIheXl5Gz1ZaWsrevXvzqaeekvXiXF5eHr/55ptyx6ZcuXKFkiRx69atsuWqjCk3krp7967+nFWVSkV7e3uGhITIth/01KlT7Nq1KzUaDbVabZ29xtLT0xkfH8+wsDB6enrqC9qAgAD9WbT37t2r0WPv2LGDAwcOpCRJbNeuHZcvX17vLz4KTzxR4AqC8H/KOi/b2NiwQYMGDA8Pr/T4AOHJdePGDfbp04eOjo7cu3fvQ29XlSZWcXFxPHv2rFkvj//oo49oYWHBc+fOlft+2bFDrVq1IgC2aNGCERER5S4MmJuEhAR6eXnR2tqaWq223AfuNWvW0NLSUpa/5YULF6jRaPj+++8bfewy69evJwBqNBqGhIRw9+7dnD9/Pl1dXU3mPHJTbSSl0+m4f/9+TpkyhXZ2dlSr1Rw2bBjj4+NlOwrq7t271Gq1tLCwYEBAgME7YD9Y0LZo0YIAaGVlZZCClvzzd5qQkMBu3boRAAMDA7l161az/rdWEKpBFLiCIFR0+/ZtRkVFic7LQqXu3bvHsWPH0tLSkuvWravSfR7VxMre3l5f9JpbE6uSkhL6+fmxT58+D/3wWLZ/sGnTpuXO2DX2UktDKCwsZGRkJG1tbdm6dWv97OSuXbsIgNevX5cl13vvvUdLS8sKFxquXbtmlKOu1qxZo9+frlKp9MVujx49ePHixTof/3FMsZHU1atXuXDhQrZu3ZoA+NRTTzE6Olq211CZgwcPsn379rS2tmZkZKRB9tVfu3atQkGrUqno5+enL2gNUcxXVtjWh+0SglBNosAVBOHhyjovt23bVt95+fDhw3LHEkyATqejVqulJEnUarU1eoyyJlZl+3m9vb3NsonVqVOnqFarGRsb+8jblZaWMikpieHh4XR1dS1X7KakpBgprWFcvXqVISEh+mXLZQXuyZMnZclTXFzMrl270t/fX3+O75o1a2hnZ0cAdX4e6ooVK/SF7YNfZd/r1q0bly9fbtTGRGVMqZHUvXv39N3IVSoVHRwcGBYWxmPHjsmai/xzz3lERASVSiUHDx5c6VL8qnqwoPX29q6zgrZMWWHr5+dHSZIYFBRkFkdoCUIdEQWuIAiPJzovCw8THR1NhULBadOmGWQpZm5uLpOSksyuidXs2bNpb2/PP/74o0q3Lykp0Re7zs7OVCgUDAgIYFRUlFnNYO/evZs+Pj60srIiAH777beyZTl16hQtLCw4f/58/VFHkiRRqVRy1apVdTr2smXLqFarKxS4ZV9lF24mTJhQpzkeZEqNpMpWMZS91gMDAxkXF2cy7+EdO3bQw8ODjo6OjImJqfb9f//9d65du5ZTp07V/5tlaWnJvn37UqvV8n//+1+dLLfW6XRcv349fXx8qFAoOGbMGJ4+fdrg4wiCmREFriAI1fNg52VfX1/ReVngpk2baG1tzUGDBjEvL8/gj28OTawKCgro5eVVo465d+/e5aZNmzh27Fja2NhQpVLxmWee4apVq0x65rrM/fv3GRUVRUmS6OjoKNvZoDqdjhMnTqSVlVW5YlOlUjEkJKROx/70009pYWHx0AJXkiRaWVnxzJkzdZqjjCk0krp58yZjYmLYuXNnAmDbtm2p1WprNTNqaLdu3WJYWBglSWJwcDCzsrKqdL/k5GR+8cUXfOGFF/RLji0sLNi7d2++/fbb3L17d50X7zt37mSXLl2oUCg4fvz4CsvzBeEJJgpcQRBq5tSpUwwJCaFarWbjxo2p1WpF5+Un2JEjR+ji4sJu3boxMzOzzsczxSZWO3bsIAD+8MMPNX6M/Px8rl+/niNGjKBGo6Fareazzz7L1atXm+RRLg9q27YtfX19KUkSBwwYYNQP3FeuXGH//v31s7Z/LTBdXV3rdPyyZmOPKnBr87qoKrkbSZWUlDAxMZHBwcG0sLBggwYNZO2C/CgbN26kq6sr3dzcHvu3efDYnrIuxw8uOU5ISDDa8vOzZ88yODhYv8dWrm0BgmDCRIErCELtpKamMiIigvb29qLz8hMuOTmZbdu2ZYsWLQzedfRxSkpKTKKJ1YQJE9i8eXODzGQXFBQwISGBISEhtLGxoVKp1C9jlrsRT2UGDRrEKVOmcN++fezYsSPVajXDw8PrZFb/QZ9//rn+YsDDCsy63of7/vvv619vlS1PXrx4cZ2NXUbORlIXLlzg7Nmz6erqSoVCwQEDBvDLL780mSXID7px4wbHjRtHSZL44osvVnphNjk5mTExMQwJCWHz5s0rPbbH2B2e09LSGBYWRqVSyW7dunHPnj1GHV8QzIgocAVBMIzc3FxGRUWxadOmtLCwYEhIiNGLHEF+N27cYO/evenk5MR9+/bJmkWOJlbZ2dls1KgRZ82aZZDHK/NgsWttbW2SxW5oaCgHDhxI8s+mTzExMWzYsCGbNm3KuLi4OpnBKywspI2NTaWztg9+1fU+3HfffbfSAlelUhlk321ycvIjf39yNJK6e/cuv/zyS/bt25eSJNHDw4PvvPMOU1NTjTJ+TezYsYPu7u5s3LgxExIS9N9/sKB1d3fXrwYJDAykVqut9bE9tZGTk8OIiAhqNBp6eHjU2XtJEOoRUeAKgmBYZZ2X27Vrp++8fOjQIbljCUZ07949jhkzhpaWlly/fr3cccoxRhOr1atXU6FQ1NnrvqCggPHx8QwKCqKlpWW5Yjc7O7tOxqyK+fPns3379uW+d+PGDYaHh1OhULBfv3510gDnwoULbNeuXaVdjB8sNCdNmmTwscvMnz+/QoGrVqvZtWvXWhdGu3fvpkKhYGRkZIWfydFI6vz58/qGUUqlkoGBgYyPjzeZ834rU1BQwPDwcEqSxNGjR/PAgQOMiYlhcHAwGzZsSAC0tbVlYGAgIyMjZd3PX6aoqIiRkZFs0KABXV1duXTpUtHvQhCqRhS4giDUjbLOy/7+/qLz8hNIp9Nxzpw5tTpGyFgM3cRKp9MxMDCQvr6+df6B9NatW4yLi2NQUBAtLCxoaWnJoKAgxsXFGX1PfExMDO3s7Cr92bFjx9izZ0+qVCqGh4cbPFthYSEnT578yFncutyHO3fu3HIFrlKppIuLS623a9y8eZOurq6UJIkqlarc0S/GbCRVWFjI+Ph4BgYGEgBbt27NyMhIo+y3r62kpCQ2a9aMtra27NmzJx0dHQmADRo0KFfQmlLxuG3bNrZp04ZWVlbUarW8c+eO3JEEwZyIAlcQhLr3187LMTExRt+/JMgjKiqKCoWCL774oknP8PxVbZtYXb58mVZWVpXOutUVuYvdrVu3EsBDm+3odDrGxcXRxcWFDRs2ZFRUFEtLSyu9bVpaGtu3b1/t5bZxcXG0sLB46GxuXZ03PHv2bH2TKUmSaGFhYZBzSMeMGaPfW6xUKunh4cHc3FyjNZI6duwYw8LCaGdnR0tLSwYHB5tkw6gHFRcX89ixY1y4cCFbtmyp/9s7OzszKCiIkZGRPHbs2ENfe3L67bff9A2kgoKCzO58bEEwEaLAFQTBeE6fPl2h8/KtW7fkjiXUse+++45WVlYcMWIECwoK5I5TIzVpYrVo0SJaWVkZvZMt+efM3xdffMHBgwdTrVZTo9Hwueee45o1a+psGevp06cJgGfPnn3k7W7dusXw8HAqlUp27dqVhw8frnCbUaNGEQAdHByq3RzqxIkTbN68eYUiV6lUcvXq1dV6rKqaNWtWuQL366+/rvVjxsXFVbrUulu3blSpVNRqtXVy0ej27dvljvdp164dIyMjZV3+/igFBQXcs2cPFyxYwKefflp/JrNaraZarebEiRNNvh9EQUEBtVotNRoN27Rpw23btskdSRDMmShwBUEwvoyMDGq12nKdl//44w+5Ywl16PDhw2zUqBG7d+9e5bMmTd3jmlgNHTqUjRs3pq+vr6zFwY0bN7h69WoOHTqUlpaWVKvVHDRoEGNiYgz6t8jNzSWAKn84/+WXX9i7d28qFAqGhITom2Xt2rWr3D7Wli1bVvtCWG5uLkeMGKH/e9T1PtwZM2ZQoVBQkiS+++67tX68lJSURzbP+ve//22A1OWVzdba2NhQo9HoZ2tNzc2bN7l582bOmTOHPXv21M9we3p6MiQkhKNHj6ZareaAAQNM6szdh0lISKCnpydtbGyo1Wpl3/srCPXAeokkIQiCIIO8vDx88cUX+OCDD5CTk4Pnn38ec+fORfv27eWOJtSB5ORkDB48GKWlpdi2bRvatm0rdySDy8vLw+nTp3H8+HEcP34ce/bsQXp6OgCgSZMm6N27NwICAuDn5wc/Pz9YWVkZNV9hYSF2796NjRs3YtOmTSgsLETPnj0RHByMv//973B3d6/V49vb2+ODDz7A9OnTq3yfzZs3Y8aMGcjPz8fbb7+NmJgY/PbbbygtLQUAqNVq9OnTBz/++CNUKlWVH5ckPv30U7z22msAgNLSUri6uiIzM/OR97t58yYyMjJw69Yt3Lt3D/fu3cPdu3ehUqlgZ2cHpVIJR0dHuLi4wNXVFUqlEtOnT0dsbCyef/55rF+/HpIkVTnnX+l0OvTt2xdHjx5FcXFxhZ9LkgQbGxucO3cOzZs3r/E4AJCTk4O4uDisXLkSFy5cQLdu3TBt2jSMGzcOdnZ2tXpsQ8nKysLRo0dx8OBB7Nq1CydPnoROp4OXlxcCAgLQu3dvDBw4EIWFhZg0aRIuXLiAxYsXY8aMGbX6O9S1c+fO4R//+Af27t2LSZMmITIyEo0bN5Y7VqXu3r2L9PR03Lx5E3l5edDpdMjNzQXw53teoVDA3t4eDRs2RJMmTYz+75og/MUGMYMrCILsioqKKnRePnjwoNyxhDqQk5PDgIAAOjk5Ge04E7lNnTqVdnZ2nD17tkGaWBlKYWGh/uihBg0aEAC9vb2p1Wp58eLFGj1mhw4d+Oabb1b7frm5uXzttddoZ2dXbtYVDywvnjlzZo0y7d27l87OzvrZ0JSUFOp0Op45c4ZxcXGcM2cOhwwZwpYtW1Kj0TyyUVVluZo2bUp3d3c2atSIUVFR3L9/f616DCxcuLDS38GDX2q1mr169WJJSQlJct++fVy0aFGVx9i3bx/Hjx9PS0tLOjg4cMaMGTx58mSNMxtSeno64+PjGRYWRm9vb0qSRKVSSW9vb4aFhTE+Pr7c0Vg6nY5LliyhlZUV/f39a/zaNZZ79+5x/vz5tLCwoJ+fX6VL9OWSkZHB77//nosWLeLYsWPZsWNHOjg4VOs9AYBOTk7s1KkTx40bx/fee48JCQn1ZuWOYBbEDK4gCKZDp9Nh69ateP/993H48GEEBAQgIiICQUFBJn0lXqiewsJCjBs3Dj/++CPi4uLw/PPPyx2pTt25cwc+Pj7o378/1q5dCwC4du0ajh8/joMHD+LAgQM4efIkCgsLYWNjg6eeeko/w+vn5wdvb+86f/0XFRUhKSkJmzdvxoYNG3D9+nV4e3sjODgYY8aMgbe3d5UeZ+jQoXB2dkZcXFy1M2RlZaFly5YoKCh46G2WLFmCV155pdqPnZmZieHDh+Po0aPw8/NDWloacnJyYGlpifbt28PHxwfe3t5wd3dH06ZN0bRpUzg5OcHS0hKWlpawtrZGcXEx8vPzodPpcPPmTWRlZSE9PR0ZGRm4ePEizp07h7Nnz+LWrVvQaDTo3r07+vXrh6FDh6J79+5V+hseO3YM/v7++tnrx/nPf/6DJk2aYNKkSSgpKcG5c+ceugImNzcXX3/9NZYsWYLTp0/Dz88PYWFhmDBhAmxsbKr1+zSklJQU7Nq1CwcOHMD+/fuRlpYGtVqNjh07IjAwEAEBAejTpw8cHBwq3DcnJwehoaHYsmULZs6ciY8++ghqtVqGZ1E1hw4dwosvvojU1FTMnz8fs2fPhlKplC1Pfn4+tm/fjl27dmH//v24cOECJEmCp6cnOnToAB8fH3h6eurfE40aNYKdnR0kSdL/PW7fvg2SyMvLQ3Z2NjIyMpCeno7U1FScPXsW586dQ1paGkjC29sbffv2xcCBA/Hss8/C2tpatucu1GtiBlcQBNP0YOfl1q1bMyoqSnRerkdKSko4Y8YMSpJk1E7DcinrMPzjjz9W+vOaNLGqKyUlJUxKSmJ4eDibNGlCAPTy8mJ4eDiTkpIe2UH3pZdeYv/+/Ws07sSJE/X7KR/2pVC54pbgAAAgAElEQVQouHXr1io/5tWrV7lw4UJ26dKFAGhlZcUBAwbwP//5D48fP14nTZquXLnCuLg4Tp06VX/Osru7O2fOnMkjR4489H75+fn08vJ65Hm+kiTpf0eurq58/vnnKUmS/vuzZs2q8LgP7q21s7NjWFgYjx8/bvDnXRVlHY6joqIqPYNWq9UyMTGxSv/W79mzh25ubmzWrBn37dtnhPQ1l5uby1deeYUKhYLPPvssU1NTZcty9+5drl27lsOGDaNGo6FSqWSvXr04d+5cbt++nXl5eQYfMzc3l1u3bmVERAT9/f2pVCppbW3NkSNHcv369bU+K1oQ/kI0mRIEwbSdOXOGYWFh1Gg0ovNyPVR2jFB4eLhJHtthSKNHj6anpyfz8/OrdPvHNbEKCgqiVqtlQkICc3Jy6iRzaWmpvth1d3fXN/N5WLG7aNEienl5VXucgwcPPrSh0l8LXGtr60d2atbpdNyxYweHDx9OpVLJRo0aMSwsjDt27JClgc+pU6e4YMEC+vr6EgCfeuopLlu2rMLrICwsrNLiVq1WU6FQUKFQsGPHjtRqtfz55585Z86cCre1sbFhfn4+8/LyynVCbt++PSMjI+usg/bDFBQUMCkpiZGRkQwKCtIvhXd1ddUf2VPdM2iLi4up1WqpVCo5cuRI3rhxow6fQe0dOnSILVq0YKNGjfjf//5XthyXLl3iq6++SicnJ6rVag4dOpSrVq2SpQHe9evXuWLFCn2Xd2dnZ77++uvV7pguCA8hClxBEMxDWedlBwcH2tnZMTw8nFevXpU7lmAA33zzDa2srDhy5EgWFhbKHafOZGRk0NHRkRERETV+jNzcXCYlJemL3rIZwrKiNzg4WL+fty5+l2fPnqVWq2WbNm0IgM2aNWN4eDgTExNZXFzML7/8khYWFo+9WLFt2za2bt2aSUlJJMlevXpVqcDF/9+77OHhUWlRn5iYyG7duhEA/fz8GBMTY1KvqQdnU52dnanVapmbm8uEhIRyz7+s0LW3t+eECRO4fv16fXFaVFTEMWPGPHSv8rBhw2hnZ0crKytOnjzZqHs88/LymJiYqD8/umwVQtlrMyYm5qFnR1dFamoqAwICaGVlxaioKAOnN6zi4mJGRkZSrVZz4MCBTE9PlyVHcnKy/uKJm5sbIyIi+Pvvv8uSpTIZGRmMjIykp6cnFQoFg4ODTX4ftWDyRIErCIJ5yc3NZVRUFN3c3GhhYcGQkBCeO3dO7lhCLR06dIjOzs7s0aNHuQYy9c2yZcuoUqkMukQ0PT2dCQkJ1Gq1Rm1iVVbsent7EwCdnZ35zDPPEMBjj2cZPXo0JUmiQqHg+++/z82bNzMsLIwdO3bUF3cqleqhS5bVajUDAgL0z+fw4cP08/OjJEkcNWoUf/nlF4M9z7qQnZ3NN954g7a2tnR2dqaNjY1+CbKvry/ffvttHjlypMKFglu3bjEgIOChy5glSWLTpk0ZFRVllNnaa9euMT4+nuHh4fTz89MX3V5eXgwLC2NcXByvXLlikLHi4+Pp4OBAHx8fnj592iCPWVdSUlLYs2dPWllZ8bPPPqtxQV8b169f59SpU6lQKOjt7c3169eb9CqZkpISrl27lm3atKFKpeL06dNNfnZeMFmiwBUEwTyVdV5u3769vvPygQMH5I4l1MLly5fZunVrtmzZst5ewS8tLWXv3r3ZtWtXfQfculBW9JbNpFlbW+uXsJbt542Li6vVbNqDkpOTGRUVxa5duxIAGzRowJCQECYkJFTYX3fv3j1aWVmVW3bcv39//d7ioqIi/vzzz1y+fDmnTZvGDh06UKlUVlr0TpgwgS+++CIVCgUHDBjAU6dO1fq5GFN2drb+DF0vLy/u2rXrobdNT0+nj4/PY/cpA+BPP/1EkgbfY5ycnMy4uDh9h+Oyv4mfn59+j7ihl8vn5+czJCSEkiRx1qxZJr9fc8uWLXRwcGDHjh0fuZS+ruh0OsbExNDJyYnu7u786quvTLqw/auSkhLGxcWxSZMmdHZ25urVq2W5QCCYNVHgCoJg3kpLS5mQkMBevXoRAAMCAhgfH1+nxYNQdzIyMti1a1c2bNiw3l6wuHDhAjUaDT/55BOjjWmsJlb379+nUqnk5MmTGRAQQEmSaG1tzaCgIMbFxfHOnTvcvHlzpTOyLi4uDz066t69e/zpp5+4dOlSTp06VX9hq2zm+KuvvqpxZlNw6tQp9u7dmxYWFvz4448rfKA/e/YsmzRpUqXiVq1Wc/jw4ezZsye7du1a40xlr5mYmBiGhISwWbNmBEBra2sGBAQwIiKCCQkJvH37dm2f/kNduHCBHTp0oLOzc7Wai8lBp9MxMjKSCoWCEydOZEFBgdEzXL9+nUOGDKFKpeJrr73GO3fuGD2Dody+fZvh4eFUKpUcPny4mM0VqkMUuIIg1B8Pdl5u1aqV6LxspvLz8/UdPr/++mu549QJrVZLa2trpqSkyJahrppYubm58aOPPiJJpqWl8ZNPPmGfPn30jZJsbW0rLdSUSiUVCgW1Wu1jZ5wWLVpEpVLJp59+ut4saS8tLeX7779PlUrFIUOG6AvHQ4cO0d7evkrF7V8bckmSVOWmfH/tcOzo6EgAtLOzK9fh2FgzqD/88AMdHBzYpUsXWd8nVXHr1i0OHTqUFhYWXLZsmSwZkpKS2KRJE3p6evLQoUOyZKgL+/btY7NmzdisWTP9ygRBeAxR4AqCUP9cunSJ4eHh1Gg0dHV1pVarNXr3UKF2SkpK+Morr1CpVPKzzz6TO47BFRUV0dvbm4MHD5Y7SjmGaGLVs2fPSo+ruXjxYpU7Jfft27fSmeTi4mJOmzaNKpWK0dHR9XLp4uHDh+nm5saOHTsyJiaGarX6ob+3suOBLC0tH3q7h8185ufn6zscBwYG6peNN27cWN/h+NixY0Zf3lpcXMyIiAhKksSQkBCTahJWmStXrrB9+/Z0c3MzakOvB3377bfUaDQcPnx4vTxlICcnh4MHD6a1tTU3b94sdxzB9IkCVxCE+iszM1N0XjZz9fkYof3791OSJG7YsEHuKI9U3SZWzz//PEeOHFnhcRITE6s8+6hWq9mwYUPu3LlTf//79+9z+PDhtLGxqfcfctPS0ujt7a3fe6xWq2lvb083Nzf6+PiwV69eHDx4MMePH8/Q0FD6+/vrm3Y9+Hu0sLDgvHnzSP65fPXBfdkWFhb6hlAhISH6Dsdyun79OgcMGECNRsOVK1fKmqUqjh49SldXV/r6+srWmXjlypVUKpWcOXNmvfs38kEPXtyS87glwSyIAlcQhPovLy+PUVFRdHd3F52XzdDGjRup0Wg4atQok5/Nqa6wsDC6urqa3QqDRzWxcnNzo4uLS4UmVu+9956+YKvK14NLlktKShgSEkJbW9t6tfzyUW7cuMHOnTuzVatWzMrKqvQ2W7ZsYZMmTR7aVRkA3dzc2L59e/3v9KmnnmJ4eDg3btxYq/3WhrZ//342adKErVu3NotmYT/88ANtbGw4ePBg5uXlyZLh22+/pVKp5Pz582UZXw6vv/461Wq1ye/JFmQlClxBEJ4cZZ2Xvb29KUkSg4KCmJiYKHcsoQoOHjxIZ2dn+vv715s9l+SfjVTc3Nz44osvyh2lVoqLi3ny5EnGxsayZ8+eVKlU+qLL2dmZgwcPZocOHaq1h/TBLw8PD1pYWJSb0X0SZGZmslWrVuzatWu5fgKZmZmcMGGCfkn345Z8z549m1u3bq3ThlC18cknn1ClUnHkyJEmm/FBX375JVUqFV988UWDd6quqkOHDlGj0XDmzJmyjC8XnU7H0NBQWltbG/S4NaFeEQWuIAhPnrLOywEBAQRAPz8/xsXFic7LJu7cuXP08PBgq1ateOnSJbnjGMzXX39NSZK4e/duuaMYxPfff09JkpiTk8MDBw7wk08+4fjx46nRaKq1RNnW1paOjo76JdEffPCB3E9NFpcvX6a9vT3Dw8Op0+kYFxdX7aZTptqRvKioiKGhoVQoFIyMjDSLPdXLly+nQqFgRESEbBlu375NT09PBgUF1etlyQ9TXFzMAQMGsE2bNmbdKVqoM6LAFQThyXbs2DGGhIRQqVSyZcuWjIqKqnfLYOuTjIwM+vn5sWHDhjx48KDccQxm+PDhbNOmTb3o+n3ixAkCKHeWcUZGRrWWJgPgkCFDePr0aTZp0oTjxo2T8RnJ76uvvqIkSfTx8an27LdarWZkZKTcT6GCnJwcPv3007S1teWmTZvkjlMlH374ISVJ4qJFi2TNMWHCBDZp0qRerWaprmvXrrFRo0YMDQ2VO4pgekSBKwiCQP45SyI6L5uH/Px8Dh06lDY2NkxISJA7jkH8/vvvtLOzqxd76XJycgig3PL/hISEGi1NVqlUdHR0NItlq3Wtf//++n3Jfy1gLS0tH7pUWaFQmFy37jNnzrBFixZs1qwZT5w4IXecKvn4448pSRKjo6NlzXHgwAECqPeN1qpi48aNlCSJx44dkzuKYFrWSyQJQRAEAQCQlZWFZcuW4dNPP0VJSQmmTJmC2bNno1mzZnJHEx5QWlqKmTNnYsWKFYiOjsaMGTPkjlRr0dHRmDNnDk6cOAEfHx+549SKnZ0doqOjMXXqVADA22+/jQ8++AD379+vcFuFQgGlUomSkhKUfSSxtLRE48aNcfXqVfzzn//Exx9/bNT8pujKlSto3749Pv74Y4wYMQJXr15FRkYGrl69imvXruHatWtISUlBeno6MjIyUFRUpL+vi4sLsrKyZEz/f7Zv345x48ahQ4cO+O677+Di4iJ3pMdauXIlwsLCEBkZiTlz5siWgyR69eoFGxsb7Nq1S7YcpiQgIACWlpbYs2eP3FEE07FBzOAKgiBUorLOy3IfoSFUFBUVRUmS6sUxQqWlpezZsyd79Ohh9s+lXbt2XLBggf6/hwwZUmFWsXHjxgwICODUqVP57rvvct26dTx8+DAzMzNJkuHh4WzZsqVsTXz+SqfTceXKlRw9ejTnzZvH0NBQrlu3zqgZZsyYwZYtW1Zpr+qtW7d49uxZ7tixg0lJSUZI93iLFy+mQqHgtGnTWFRUJHecKlm1ahUlSTKJZd5JSUkEwKNHj9bZGHv37mVwcLD+vdqlSxeuXbtW//Pdu3dz0KBBBMBhw4bx66+/Jinf+2Pv3r0EIBpOCQ8SS5QFQRAe5a+dlwMDA+vNstj6Ij4+nhqNhqNHjzb7/dOnT5+mWq3m0qVL5Y5SK88880y5vXG7d+/msmXL+OOPP/LSpUuPLW6Kioro7OzM9957r66jVtk777xDDw8P/daFmzdv0sPDg1FRUUbLcObMGQLg3r17jTamIRQXF3P69OlUKpVG/X3VVkJCAlUqlclsHZgyZQq7dOlS5+PodDpOnDiRAOjv71/hgsrIkSM5Z86cct+X8/3Rvn17zpgxo87HEcyGKHAFQRCqQqfTMSEhgYGBgfqr2qLzsunYvXs3HRwc2LNnT2ZnZ8sdp1beeOMNNmjQgH/88YfcUWps2rRpHDhwYI3vv2XLFkqSZDK/g9TUVKpUqgoF98KFC2ltbc2cnByjZenatSvDwsKMNl5t5efnMygoiNbW1mZ1cfCnn36ijY2NyRzhVVxczAYNGhhtD3BhYSG7dOlCAOVmYtevX88XXnihXHEr9/tj8eLFbNiwoVl04RaMYr1CnqXRgiAI5kWSJAwbNgyJiYk4duwYfHx8MHXqVLRt2xbR0dG4e/eu3BGfaH/7299w4MABpKeno2/fvkhNTZU7Uo3Nnz8fLi4umDVrltxRaqxZs2b4/fffa3z/pKQkeHt7w83NzYCpam7dunUoKSnBgAEDyn3/b3/7GwoLC7Fy5UqjZQkMDMSBAweMNl5tZGVloX///jh8+DB27tyJYcOGyR2pSi5fvoygoCA8/fTTWLp0qdxxAACnTp1CXl4eBg4caJTxrKys8M0338DW1hb/+Mc/cO3aNfz8889YunQpli1bBkmS9LeV+/0xYMAA3LhxA7/++mudjiOYD1HgCoIgVJOfnx/Wrl2LixcvYujQoZg7dy48PT2xYMEC3Lx5U+54TywfHx8cOXIEVlZW6NmzJ44fPy53pBqxsrLCihUr8N133+H777+XO06NNG/eHL///ru+aVR1HTlyBD179jRwqspt3LgRTk5OkCQJb731lv77S5cuhUKhQGxsrL6gdHd3L3ffsuZzp06dMkpWAOjVqxd+/fVX3Lp1y2hj1kRycjL69OmDmzdv4tChQwgICJA7UpVcu3YNAwcOhJeXFzZs2ACVSiV3JADA4cOH4ejoiLZt2xptzBYtWiAqKgo3b97E2LFjERYWhnXr1sHKyqrc7eR+f3Tq1Ak2NjY4dOhQnY4jmA9R4AqCINRQy5YtER0djdTUVLz88sv49NNP4eHhgVmzZuHq1atyx3siNWnSBPv27UOXLl3Qr18/bNmyRe5INdK/f3+EhITglVdewe3bt+WOU23NmzfH3bt3kZOTU6P7p6amGu2DfHBwMN555x0AKFeEBQUF6T/UX7t2DQDg6OhY7r5OTk4A/uxwbCxt2rQBSZP+N6bsAoWTkxMOHz6MNm3ayB2pSvLy8jB06FDY2Nhg27ZtsLGxkTuSXlpaGlq3bg2Fwrgf3adOnYohQ4YgKSkJgYGBlZ4oIPf7Q6VSwcvLC2lpaXU6jmA+RIErCIJQSy4uLliwYAHS0tKwcOFCbNq0CS1btsSkSZNw9uxZueM9cWxtbfHDDz9g4sSJGDFiBJYtWyZ3pBr5z3/+g9LSUrz99ttyR6k2Dw8PAKjxB84bN26gYcOGhoz0SNOnT0ezZs3KvVZWrFiB119/HQDQoEEDACi3LPPB/67s+KO6UvZ7qenFg7qWkJCAv/3tbwgICMCePXvM4hggACgqKsLw4cORk5OD7du364szU2Hs98SDnJycoNFoEB0djV9++aXCz03h/eHs7IwbN27U+TiCeRAFriAIgoHY2dlh1qxZ+O2337By5UqcOHECvr6+6N27NzZv3ix3vCeKSqXC8uXLsWjRIsyYMQOzZs2CTqeTO1a1NGzYEB999BGWLl1qdkvvmjdvDqVSWeO90Hfv3q2wDLIuWVhYYNasWdiyZQuSk5Nx//59XLx4EZ07dwYAtGvXDgAqzKaXLRNu2rSp0bKWzSoWFBQYbcyqiouLw9///neMHTsWGzduhLW1tdyRqoQkpkyZgpMnT2Lbtm1o3ry53JEqKCwsNOp7okxUVBQ0Gg2+/PJLFBcXY8KECRV6TpjC+8PGxgb5+fl1Po5gHkSBKwiCYGAWFhaYNGkSzpw5g8TERDg6OuK5557T790tLS2VO+ITIyIiAmvWrMGyZcswduxY3Lt3T+5I1RISEoLAwEBMnz7dqLOEtaVWq9G0adMaF7gODg5G32M6bdo02NjY4PPPP8f333+P0aNH63/m4+MD4P+WYpbJyMgAAPTu3dtoOcv2+ZvaDOPixYsxZcoUvPbaa1i9erXJ7F2tijfeeAPffPMNNm7cCF9fX7njVMrR0dHo74mdO3di06ZN+PzzzzF69GiMHz8e58+fx5w5c8rdzhTeHzdv3pRthlswPaLAFQRBqCOSJCEwMBCbN2/G8ePH9Z2X27RpIzovG9GkSZOwfft27Ny5E0OGDDG7Pa0xMTG4cuUKPvzwQ7mjVIunp2eNC1xnZ2dkZ2cbNtBj2NvbY9q0aVi9ejW+/vprjBw5Uv+zkJAQ2Nvb43//+1+5++zZswdqtRrjx483Ws6y34uzs7PRxnwUkpg9ezbefPNNLFmyBJGRkXJHqpbY2Fh8+OGHWLlypdE6FNeEsd8Tly5dwsyZM/H111/D0tISAPDZZ5/B0dERn3/+ObZv366/rSm8P7Kzs0WBK+iJAlcQBMEIunTpou+8HBQUJDovG9mAAQNw4MABJCcnIyAgwKyakXh6emL+/Pl49913ceHCBbnjVFmLFi1qXOD6+Pjg5MmThg1UBeHh4cjPz0fnzp2hVqv133dycsLcuXMRExODO3fuAPizIVFsbCzeeuutShvv1JUTJ07AysoKLVq0MNqYD3P//n2MHz8en332GdatW4eXX35Z7kjVsnXrVsyYMQOLFi3CpEmT5I7zSD4+Prh48SIKCwvrfKz09HQ888wzeP3119GkSRP9952cnBAREQEAmDx5MpKTk/Xfl/P9kZeXh5SUFHTo0KFOxxHMiLzn8AqCIDyZsrKyqNVq6eTkRFtbW4aHhzMtLU3uWPVeeno6O3fuzCZNmvD48eNyx6my4uJidunShf369aNOp5M7TpXMnz+fPj4+NbrvRx99RFdXVwMnqppZs2YxJyenwvd1Oh1XrlzJiRMnct68eRw9ejRjY2ON/veYNm0a+/bta9QxK5Ofn89nn32Wtra2/PHHH+WOU21Hjx6ljY0Np02bJneUKklLSyMA7tu3r07HiY2NZatWrQiAM2fO5C+//KL/2dGjR/nyyy8TAAHQ3d2dn3zyCUl53x87duwgAGZmZtb5WIJZWC+RNTykThAEQai1/Px8rFq1Ch9//DEyMzMxYsQIzJkzB127dpU7Wr2Vn5+PMWPGICkpCRs2bMDQoUPljlQlx44dg7+/P1asWIEpU6bIHeexVq9erZ8Rra5ffvkFnTt3xqFDh4x2Hq45KCkpQbNmzfDyyy9j/vz5suW4efMmhg4diitXrmDbtm3o0qWLbFlq4vz58+jXrx969OiB77//3mz2C7du3RrDhg3Df/7zH7mjmJSXX34ZBw4cwJkzZ+SOIpiGDWKJsiAIgoxsbW0xa9YsJCcnY+XKlfj111/RrVs30Xm5Dtna2iIhIQHjxo3D8OHDsXz5crkjVUnXrl3xj3/8A7Nnz0ZWVpbccR7L09MTBQUFNdo3+NRTT+Gpp57C6tWr6yCZ+dqyZQuysrIwceJE2TKkpqaiV69eyMrKQlJSktkVt8nJyRg4cCBat26NDRs2mE1xCwAvvPAC1q5di6KiIrmjmIy7d+9iw4YNZnHRTzAeUeAKgiCYALVare+8nJSUpO+8XLZ3t6SkRO6I9YpKpUJMTAzeeustvPzyy5g1axbMYUHTokWLYG9vj1dffVXuKI/l6ekJADXehzt16lSsX78emZmZhgtl5qKiojBw4EB4eXnJMv65c+fQp08fqNVqJCUloXXr1rLkqKn09HQMHDgQLi4u2Lp1K2xtbeWOVC2TJ09Gbm4uvvrqK7mjmIzVq1fj7t27sl70EUyPKHAFQRBMTNns7fHjx9GhQwdMnToVbdu2RXR0tFEajDwpJEnCggUL8MUXX2DZsmWYPHmyyR/FY21tjSVLluCrr74y+Rn+5s2bQ6VS4cqVKzW6/4svvoiGDRtiwYIFhg1mprZs2YJ9+/bJtjR53759CAgIQKtWrXDgwAG4ubnJkqOmsrOzMXDgQFhYWGDHjh1wdHSUO1K1ubu7Y9q0aXj77bfF/wvw53aTd999FzNnzoSLi4vccQQTIgpcQRAEE1U2e3vp0qUKnZdv3Lghd7x6Y/Lkydi2bRu+//57DB48GLm5uXJHeqTBgwfj+eefx8yZM2u0v9VYVCoV3NzcajyDq9Fo8O9//xurVq3C8ePHDRvOzBQWFuL111/HqFGjEBAQYPTxExISMHjwYDz99NPYvn077O3tjZ6hNnJzc/Hss8/i/v372LNnD1xdXeWOVGMLFixAXl4e3nvvPbmjyG7BggUoKirC3Llz5Y4imBhR4AqCIJg4Ly8vREdHIzU1Fa+88go+++wzeHp6YtasWWZ13I0pCwwMxIEDB3D58mX07t0bv//+u9yRHik6Ohp37twx+dlNT0/PWr1GQ0JC0L9/f4wdO1Z//MiT6F//+hcyMzNlaS60bNkyjBo1CpMnT8Y333wDjUZj9Ay1UVhYiKCgIFy/fh2JiYlo2rSp3JFqxdXVFYsXL8b7779f4dzZJ8nOnTvxySef4JNPPhHn3woViAJXEATBTLi4uGDBggVIS0vDwoUL8f3338PLywvDhg3Dzz//LHc8s+fr64sjR45ApVLB399flnNYq8rV1RUffPABoqKiTHp209PTs8YzuACgUCgQFxeH27dvIywsDDqdznDhzMSXX36JFStWYNWqVfDw8DDauCTx5ptvYsaMGViwYAGWLl0KpVJptPEN4fbt2xg4cCAuX76MXbt2mcTZwYbw8ssv47nnnsOkSZOQnp4udxyjS01NxQsvvIDnn38ekydPljuOYIJEgSsIgmBmyjov//bbb9iwYQMyMzPRvXt30XnZAJo2bYr9+/ejU6dO6Nu3L7Zv3y53pIcKDQ1Fv379EBoaiuLiYrnjVMrT07PGe3DLNG3aFBs2bMCmTZvw2muvGSiZedixYwdCQ0MxZ84cjBo1ymjjlpSUICwsDB988IG+GZu5uXnzJgYNGoSUlBQkJiaibdu2ckcyqFWrVqFBgwZ49tlncevWLbnjGE12djYGDRqExo0bm00HfMH4RIErCIJgptRqNYKDg/Hzzz+X67zcuXNn0Xm5Fuzs7PDDDz9gxIgReO655xAbGyt3pEpJkoRly5bh4sWLiI6OljtOpTw8PJCamlrrDtUDBgzA2rVr8emnn2LevHlm0fG6tnbu3InRo0djwoQJeP/99402bn5+Pp577jls2LABCQkJePHFF402tqFkZmaif//+uH79OpKSkuDr6yt3JINzcnLC9u3bkZOTg8GDBz8RfRmysrIwaNAglJSUYPv27WjQoIHckQQTJQpcQRCEeqBs9vbEiRPw9fVFaGgo2rRpIzov15CFhQXWrl2LN998E9OnT8cbb7xhkkVVmzZtMG/ePGi1WqSkpMgdp4IWLVrg7t27uH79eq0fa8yYMfjiiy/w0UcfYerUqSY7a20IX375JYKCgjBy5EisWLECkiQZZdyMjAz069cPJ0+exN69ezF48GCjjGtIv/76K3r27ImSkhIcODxbFcQAACAASURBVHAArVq1kjuSwWVlZeG9995D3759cevWLWRmZiIgIKDWqyVM2eXLl9GrVy/k5+cjMTERjRs3ljuSYMooCIIg1DvJyckMDw+ntbU1GzVqRK1Wy5ycHLljmaXVq1dTrVZz8uTJvH//vtxxKigqKqKPjw8HDRokd5QKrly5QgA8cuSIwR5z+/bttLW1ZZ8+fXj16lWDPa4pKCoq4muvvUZJkhgREUGdTme0sc+fP08PDw+2atWKly9fNtq4hnTo0CE6OzvT39+f169flzuOwR07doxhYWHUaDS0t7dnWFgYz549y4yMDHbu3JmNGjXitm3b5I5pcD/88AOdnJzYvXv3evl3FQxuvShwBUEQ6rHr169Tq9WyYcOGtLGxYVhYGC9duiR3LLOzc+dONmjQgAMGDODt27fljlPBkSNHqFAouG7dOrmjlFNcXEyVSsUNGzYY9HFPnTrF9u3bs2HDhvzuu+8M+thyuXTpErt160ZbW1vGxcUZdey9e/fS0dGRAQEBvHHjhlHHNpRvvvmGGo2GI0eOZGFhodxxDCY3N5cxMTH09fUlAPr5+TEmJoYFBQXlbnfnzh1OnDiRkiTxtdde4927d2VKbDiFhYUMDw+nJEkMDQ2t8JwF4SFEgSsIgvAkyM/PZ1RUFD08PKhQKBgUFMSjR4/KHcusnDp1iu7u7uzQoQN///13ueNU8PLLL9PZ2dnkZjg8PT0ZGRlp8MfNz89naGgoAXD48OFMTU01+BjGUFhYyPnz51Oj0bBz5868cOGCUcdfs2YNLSwsOHr0aLMsDHU6Hd955x1KksR//vOfLC0tlTuSQRw/fpxhYWG0sbGhRqNhSEgIT5w48dj7rVmzhnZ2dmzVqhW3b99uhKR1IyEhgS1atKC9vT2/+uorueMI5kUUuIIgCE+S0tJSJiQksFu3bgTAgIAAJiQkGHUppDn7448/2KlTJzZt2pQnT56UO045ubm5dHd355QpU+SOUk7//v350ksv1dnj79q1i+3ataO1tTXnzZtnNkvxi4uLuWbNGrZo0YJ2dnb8+OOPWVxcbLTxdTodtVotJUlieHi4WRaGeXl5HDFiBNVqNZcsWSJ3nFq7d+8e4+PjGRgYSABs27YtIyMjqz2rfvXqVQYHBxMAn3vuuSoVxqbi6NGjfPbZZylJEsePH89r167JHUkwP6LAFQRBeFIlJSUxKCiIANipUyfGxcUZ9QO2ubp58yb79+9POzs7k5sh+fbbbylJEhMTE+WOojd58mQ+++yzdTpGUVERP/zwQzZq1Ih2dnacO3cu//jjjzods6YKCwu5cuVKtmrVimq1mqGhoUxPTzdqhnv37nH8+PFUqVRctmyZUcc2lEuXLtHHx4eNGjXinj175I5TK5cuXWJERAQbNmxICwsLBgcHMzExsdYXHnfu3MmuXbtSkiQOHz6cBw8eNFBiw9u3bx+HDBlCAPT39+fevXvljiSYL1HgCoIgPOlOnjzJkJAQqlQqenp6MioqSux1eoyioiJOmDCBFhYWXLt2rdxxyhkxYgRbt25tMstNFyxYwHbt2hllrDt37nDx4sV0dXWlSqXi8OHDuXXrVpO4cHP69GmGh4fTwcGBFhYWnDp1KpOTk42eIzs7m3369KGjo6PZFoabNm2ivb09u3fvbraNxkpKSpiQkMDAwEBKkkQ3NzdqtVpmZWUZfKzNmzeze/fuBEBfX19+/vnnJrHXOicnh9HR0fT29iYA9urVy+QuGgpmSRS4giAIwp9SUlL0nZednZ2p1WqZnZ0tdyyT9eAST61WK3ccvWvXrtHBwYHz5s2TOwrJP/cEajQaoy6DLyoq4oYNG9i/f39KkkQnJydOnjyZCQkJvHPnjlEylJSU8OjRo5w7dy7btm1LAGzZsiUXL15cJ0VMVZw9e5aenp708vLi+fPnZclQG3fv3uWMGTMIgGFhYbx3757ckaotPT2dkZGRbNasGRUKBQMDAxkfH2+UizBHjx5laGgobWxsqFKpOHDgQC5fvtyoFwlSU1O5ZMkSDhgwgCqVinZ2dgwLC+Px48eNlkGo99ZLpAke7CcIgiDIJjs7G0uWLMHnn3+O/Px8jBkzBm+99RbatGkjdzSTtGrVKrz00ksICQlBTEwM1Gq13JGwZMkS/POf/8TPP/+Mp556StYs+/btQ//+/ZGRkSHL2ZUpKSn47rvv8N133+Gnn36CQqGAn58f+vTpgx49eqBDhw5o1aoVVCpVrcZJT0/HuXPncPz4cSQlJeHgwYPIy8tDixYtMGrUKIwaNQr+/v5QKBQGembVk5iYiDFjxsDb2xubNm2Ci4uLLDlq6uLFixg7dixSUlKwfPlyjBs3Tu5IVabT6bBnzx7ExsZi06ZNaNiwISZPnozp06ejRYsWRs+Tl5eHrVu34rvvvsP27dtRUFAALy8v9OnTBwEBAejUqRO8vb1ha2tb63HOnz+PU6dO4eDBg9i/fz/S0tJgZ2eHIUOG4O9//zuGDBkCGxsbAz0zQQAAbBAFriAIglCpgoICrFu3Dh999BGSk5MxZMgQvP322+jevbvc0UzOzp07MXr0aPj7++Obb75BgwYNZM2j0+nQt29fFBcX49ChQ1AqlbJlSUtLg6enJw4fPgx/f3/ZcgBAZmYm9u3bh6SkJOzbtw+//vorSktLYWlpiTZt2qBZs2Zo3Lgx3N3dYW9vD1tbW6jVatja2qKoqAiFhYUoKipCbm4usrKy8McffyAjIwOXLl3CrVu3AABubm7o06cP+vTpg379+sHHx0fW5wwAy5YtQ3h4OMaNG4cVK1bA0tJS7kjVsnr1aoSHh8PHxwcbNmyQpSisiezsbHzxxReIjY1FSkoK+vXrh5deegkjR46EhYWF3PEAAHfv3sXhw4exf/9+7N+/H0ePHkVBQQEkSYKnpyeaN2+uf184OzvDwcEBkiTBwcEBJJGbmwudTofc3Fxcv34dWVlZuHr1Kn7//XekpqYCAGxtbdGjRw/07dsX/fr1Q48ePaDRaOR94kJ9JgpcQRAE4dF0Oh22bt2KhQsX4ujRowgICEBERASCgoIgSZLc8UzGzz//jGHDhsHFxQXbtm2Du7u7rHnOnj0LPz8/fPzxx5g5c6ZsOUpLS2FlZYU1a9Zg/PjxsuWozNGjR9GjRw+89dZbIKkvWNPT03Hnzh3cuXMHxcXFyM/Ph6WlJaytraHRaGBnZwdXV1e4u7ujcePGaNWqFXx8fODr6wsnJye5n5ZeSUkJXn31VXz++ef497//jTfffNOs3rOZmZmYPn06tmzZgtdeew2LFi0yiRUSj0ISe/fu1c/WWllZYdKkSXjppZfQvn17ueM9lk6nw5UrV3D27FmcO3cOf/zxB9LT05GRkYEbN27oC9pbt27pC12FQgF7e3s4OzvrLxC5u7ujQ4cO6NChAzw9Pc3qdSeYPVHgCoIgCFV34MABLF68GFu3bkXHjh3x6quvYvz48bVe3llfXLlyBUOGDMGdO3ewdetWdOrUSdY8b731Fj799FOcO3cOzZo1ky1H69at8cILL+Ctt96SLUNlXnrpJezbtw/nz5+vdx/A8/LyMH78eOzevRsrV67EhAkT5I5ULRs3bsQrr7wCW1tbrF69Gk8//bTckR7p9u3biI+Px2effaa/uBQWFoYJEyaIJbiCYFwb5NkIIgiCIJil3r17Y/PmzTh58iQ6duyI0NBQtG7dGtHR0SgoKJA7nuxatGiBQ4cOoWXLlujfvz/27t0ra563334b7u7ueOmll2TN0apVKyQnJ8ua4a/y8/Oxfv16vPTSS/WuuP3tt9/g7++PkydPYv/+/WZV3GZnZ2P06NF4/vnnMWrUKJw+fdqki9vjx49j+vTpaNq0KV5//XX06tULJ0+exLFjxxAWFiaKW0GQgShwBUEQhGrr1KkT1q5di8uXL+O5557DvHnz4ObmhlmzZiEjI0PueLJydHTEzp07MWTIEAwaNAjr1q2TLYulpSWWLVuG7du349tvv5UtR8uWLfHbb7/JNn5l1q9fj/v37yMkJETuKAaVmJiI7t27Q6PR4MiRI+jWrZvckapsy5Yt6NSpE44dO4adO3ciJiYGdnZ2cseq4Pbt24iNjYWvry+6du2K48ePIyoqCteuXUNMTIzsjd0E4UknClxBEAShxjw9PREdHY20tDTMnTsXGzduRIsWLTBp0iRcvHhR7niysbS0xH//+1/MnTsXISEhWLBggWxZ+vXrhylTpmDmzJn6RkjG1rJlS5ObwY2NjUVwcLBJ7ZmtrdjYWAwdOhTPPPMMDh48KOuy9Oq4ffs2pk+fjmHDhqF37944efIkAgMD5Y5VgZitFQTzIApcQRAEodacnZ0RERGBK1euIDY2Fj/99BO8vb0xbNgw/PTTT3LHk4UkSViwYAFiY2OxaNEihIaGoqSkRJYsH374IUhi3rx5sozfsmVLZGZmIj8/X5bx/+rUqVP6oqQ+KCkpQXj4/2vv3sNyvv8/gD/v7g6kJMeS06RynFhGBwz5GcohixxDVs1mYSbfzRf7GivfbcppxFBMKYdoxlSmA4XKIedDKQo5JqG6u9+/P/y6fzOh6O6Tej6uq2uXuu/36/m5/TGv3p/P6/0lPD098c033yA4OBi1a9eWOlaZ/PHHH+jYsSN2796NXbt2ITQ0FIaGhlLHUuFuLdG7hw0uERFVGB0dHUyYMAHnzp1DeHg4cnJy0KNHD9WzuzVxruGUKVOwbds2hISEYPDgwcjLy6v0DPXr18fSpUsREBCA+Pj4Sq/fpk0bCCGQnp5e6bVL88svv6Bt27awtbWVOspbu3fvHgYMGIANGzZg+/btWLBgwTvxTHFubi48PDwwePBg2NjY4MyZMxgyZIjUsVS4W0v07mKDS0REFU5DQ0O1exsXFwdDQ0MMHToUlpaWCAoKQlFRkdQRK9XQoUNx8OBBnDx5EnZ2dsjKyqr0DKNHj8bgwYMxZcoUFBQUVGrt1q1bQ0NDo0rcplydhktdvHgRNjY2uHjxImJiYjB8+HCpI5VJeHg42rdvj4iICERERCA0NLRK3CrO3Vqi6oENLhERqdXfJy937txZNXnZ19cXubm5UserNN26dUNCQgIKCwthZ2eHc+fOVXqGFStWICsrC76+vpVat1atWjA2Nq4Sg6aqy3CpP//8E927d0eDBg2QlJSErl27Sh3ptbKysuDk5AQnJyfY29vj9OnTcHBwkDpWqbu1KSkp3K0lekexwSUiokrx98nLQ4cOxcKFC9GiRQt4eXkhOztb6niV4r333lMN/7G1tUVMTEyl1m/RogW+++47LFq0CGfPnq3U2lXlqKDqMFwqICAADg4OGDhwIKKjo9GkSROpI72SEAIBAQFo3749Tp48iX379iEwMFDSv4OX7dZmZWVhzZo16NKli2TZiOjtyERNfCCKiIgkl5ubi40bN8LX1xf37t3DyJEj8e2338LCwkLqaGpXUFCAiRMnYufOnVi/fj3GjBlTabWLi4vRvXt36OrqIiYmptJu03Vzc8O1a9ewf//+SqlXmpMnT8LS0hJxcXGws7OTLMebKiwsxGeffYbAwEAsWrQI3t7eUkd6rdTUVLi7uyMpKQlTp07F4sWLJd0RTU5ORkBAADZt2gQtLS24uLjA09OTDS1R9RHCHVwiIpKEgYEBvLy8VJOXjx49qpq8nJiYKHU8tdLR0cGWLVswZ84cjBs3rlKPEZLL5Vi/fj0SExOxbt26SqtbFY4KepeHS929excDBgxAWFgYduzYUeWb2ydPnmDBggWwsrJCYWEhjhw5An9/f0maW+7WEtUsbHCJiEhSJZOXz549i/DwcNy+fRvW1tbVfvJyyTFCfn5+WLhwIT799NNKO0bo/fffh5eXF77++utKG3hlamqKjIwMFBYWVkq9f3qXh0ulpqbCysoKmZmZSEhIqFLThksTExODLl26wM/PD0uWLMHRo0cleUb4dc/W6unpVXomIlI/NrhERFQllExeTkxMfG7ycsmzu9V18vKXX36J7du3Y8uWLXBwcKi0Y4S+++47NGzYEDNnzqyUem3atEFxcTEyMzMrpd4/vavDpf744w/Y2dmhWbNmSEhIQIcOHaSO9FL37t2Dh4cH+vTpAzMzM6SmpsLLywtyubzSMnC3lojY4BIRUZVTsnt74sQJWFpaYsqUKWjRogUWLFhQLScvDxs2DAcOHMDx48fRr18/3Lp1S+01dXV1sXLlSoSGhmL37t1qr2dqagoAkk1SfheHS/n7+8PR0RGjRo1CdHQ0GjduLHWkUgkhsH79epibm2Pv3r0IDw9HREQEmjdvXmn1Dxw4gNGjR8PIyAizZ89Gr169cOLECe7WEtVAbHCJiKjKev/991WTl11dXeHn51dtJy93794dCQkJePjwIaytrXH+/Hm11xwwYADGjh2LadOmqX3nuF69eqhfv74kz+GePHlS1ei8CwoKCuDq6oqvvvoKixcvRkBAALS1taWOVark5GTY2trC3d0dY8eOxZkzZyrtFuqbN2/Cx8cH5ubm6NevH65evYpVq1YhKysLK1euROfOnSslBxFVLWxwiYioymvZsiV8fHyQmZmJ//znP9i2bRtat26NCRMmVEojWFlat26Nw4cPw8TEBLa2toiNjVV7TT8/Pzx58gT//ve/1V5LqqOC3qXhUrdv30b//v0RHh6O8PDwKjtM6v79+/Dy8kL37t2hUChw+PBh+Pv7Q19fX611lUoloqKiMHLkSLRo0QI+Pj7o27cvjh8/joSEBEyePJnn1hLVcGxwiYjonVG3bl14eXkhLS1NNXm5Q4cOcHR0REJCgtTxKkT9+vURFRUFe3t7/M///A9CQkLUWq9hw4ZYsmQJli9frvbPsE2bNpV+i/K7NFzq5MmT6NatG27cuIHExEQ4ODhIHekFSqUSQUFBsLCwQGhoKFatWoXExER8+OGHaq1748YN+Pr6ok2bNujfvz/S0tKwYsUK1bO1lpaWaq1PRO8ONrhERPTO+efk5Tt37sDGxqbaTF7W0dFBSEgIvLy8MGbMGLUfIzRx4kT07dsXHh4eah3mZWZmhkuXLqlt/dK8K8Oltm3bBltbW5ibm+Po0aNo166d1JFeUHI7spubG0aPHo3z58/D3d0dGhrq+edkabu1/fv3x6lTp1S3nHO3loj+iQ0uERG9s0omLyckJLwweTkgIAAFBQVSR3xjMpkMvr6+WLp0KRYuXAgvLy8UFxerrd4vv/yCy5cv4+eff1ZbDTMzM6SlpVXacUhA1R8uJYSAr68vRo0ahbFjx2LPnj0wNDSUOtZz7t27By8vL3z44YfQ0dFBSkoK/P39YWBgoJZ6WVlZ8PX1RevWrVW7tStXrkR2djbWrFmDTp06qaUuEVUTgoiIqBo5deqUGD9+vNDS0hJGRkZi/vz54v79+1LHeis7duwQtWvXFsOGDRP5+flqq7No0SJRu3ZtcenSJbWsf/ToUQFAbev/04kTJwQAERcXVyn1yuvJkydi3LhxQlNTUyxbtkzqOC8oLi4WgYGBomHDhqJp06YiMDBQKJVKtdRSKBQiMjJSODs7C7lcLoyMjIS3t7e4fPmyWuoRUbUVLBPiHb+Pi4iIqBQ3b97E6tWr4efnByEEJk6ciNmzZ8PExETqaG8kMTERQ4YMwXvvvYeIiAi1HBmjUCjw4YcfwsDAAAcOHKjwZ1Zzc3NRr1497NmzB4MGDarQtUvj6emJmJgYnD17tso9f5udnY1hw4bhypUrCAsLQ9++faWO9JzY2FhMmzYN58+fx4wZMzB37ly1HLVz+fJlbN68GevXr0dWVhb69u0Ld3d3DBs2DFpaWhVej4iqvRDeokxERNWSkZERFixYUOrk5XPnzkkdr9x69OiBhIQEPHjwANbW1rhw4UKF19DU1MSaNWsQFxeHTZs2Vfj6BgYGaNy4MS5evFjha/9TVR4udfz4cfTo0QO5ubk4fPhwlWpu09LS4OzsjN69e8PIyAinTp2Cj49PhTa3BQUFCAsLQ//+/WFubo6AgACMGTMGly9fRmRkJJydndncEtEbY4NLRETVWsnk5fT0dKxduxbHjh1Dx44d4ejoiMOHD0sdr1xMTU1x+PBhGBsbw8bGBvHx8RVeo1u3bpg6dSpmzpyJnJycCl/f3Ny8UgZNVdXhUqGhobCzs0P79u1x5MgRWFhYSB0JwLNfCCxYsAAdOnTAqVOnEBoaij///LNC8124cAFz5sxB8+bN4eLiAgDYunUrMjMz4ePjg/fee6/CahFRzcUGl4iIagRtbW1MmDABZ86cQXh4OO7evQtbW9t3bvJygwYNEBUVhX79+sHe3h5bt26t8BqLFi2Crq4uZs2aVeFrm5ubV8oOblUbLiWEwIIFC+Di4oJx48bh999/R7169aSOpTr2p02bNli2bBkWLFiAU6dOwdnZuULW//tubbt27bB582ZMnjwZaWlpqt1aTU3NCqlFRASwwSUiohqmZPLy4cOHn5u8bGFhAX9/fzx9+lTqiK9Vq1YtBAcH49NPP8Xo0aOxZMmSCl1fX18fq1evxqZNm7B///4KXdvMzEztDe7JkydVx8hUBfn5+RgxYgR++OEHrFu3DmvWrKkSTV10dDS6dOmCKVOmYOjQobhw4QK8vb2ho6Pz1mufO3cOc+bMgYmJCUaPHg3g2W5tRkYGfHx80LJly7euQURUGg6ZIiKiGi81NRUrVqxAUFAQ6tWrBw8PD0yfPr1K7LC9jr+/P2bOnIkvvvgCS5curdAzSZ2dnZGUlITTp09X2HmjO3bswCeffIJHjx5BV1e3Qtb8p6o0XCorKwtDhw7F1atXsW3bNnz00UeS5gGAixcvYu7cuQgLC4O9vT38/PzQoUOHt1736dOniIiIQEBAAKKiomBmZgY3NzdMnDgRTZo0qYDkRESvxSFTREREnTp1wpo1a5Ceng4PDw/4+/ujRYsW8PLyQlZWltTxXsnLywuhoaFYu3YtPvnkEzx58qTC1l6+fDlyc3OxcOHCClvT3NwcQghcuXKlwtb8u6o0XCohIQFWVlYoLCzEsWPHJG9u79+/jzlz5qBTp044ffo0/vjjD0RGRr51c5ucnAwvLy80bdoU48ePh6GhISIjI1U7wmxuiagyscElIiL6PyWTlzMyMrBw4UJs375dNXn57NmzUsd7qREjRiA6OhpxcXHo27cvbt++XSHrGhkZYfHixfjpp5+QkpJSIWuamZlBLper7TblqjJcKjg4GP369UPXrl0RHx8v6QClgoIC/PzzzzA1NUVgYCBWrlyJ1NRUDBw48I3XfPDgAVatWoWuXbvCysoKUVFRmDdvHrKyshAaGgp7e3vJf8FARDUTG1wiIqJ/KJm8nJaWhrVr1yIpKQmdOnWCo6MjDh06JHW8UllbWyMhIQF3796FtbV1hTWQ7u7u6NGjBzw8PFBcXPzW6+no6KB58+Zqa3ClHi5VMkxqzJgx+PTTTxEREYG6detKkkWpVGLz5s1o27Yt5s6dC09PT1y8eBFTpkyBXC4v93pCCMTGxmLChAlo2rQpvv76a7z//vuIj4/HmTNnMH36dDRo0EANV0JEVHZscImIiF6iZPLy6dOnER4ejnv37sHOzg52dnYICwurkIavIrVp0waxsbEwNDSEjY1NhTTjGhoaWLduHU6fPo3ly5dXQEr1HRUk9XCpR48eYfjw4fDx8cHGjRvh7+9foc9El0dUVBSsrKzg6uqKbt264ezZs1i8eDH09fXLvdb9+/cREBCAzp07o3fv3khOTsb8+fORmZmJjRs3wtbWVg1XQET0ZtjgEhERvUbJ5OVDhw6pJi+PGjUKbdu2rXKTl42MjHDw4EHY2NjA3t4eYWFhb72mhYUFvL298e233yI9Pf2t11PXUUG//PIL2rZtK0nDlZaWhh49euDw4cOIjIyEq6trpWcAgKSkJNjb26N///5o0KABjh8/jtDQULRq1apc6yiVSkRFRWHkyJFo0qQJZs+eDWtrayQnJ+PMmTPw9vbmbi0RVUlscImIiMqh5NzcCxcuYNCgQZgzZw5atWqFBQsW4P79+1LHAwDUqVMHO3fuxOTJkzF69GisWLHirdf85ptv0KpVK3z++edvvZY6jgqScrjUoUOHYG1tDU1NTRw7dgw9e/as1PoAkJmZCQ8PD3Tv3h15eXk4ePAgIiMj8f7775drnaysLPj6+sLU1BT9+/dHWloaVqxYgaysLKxZswZdu3ZV0xUQEVUMNrhERERvwMzMDP7+/khPT4enpyf8/f3RsmVLeHl54fr161LHg1wux8qVK/HTTz/By8sLXl5eUCqVb7yetrY2Vq9ejX379mHr1q1vlc3c3By3b9/GvXv38OTJE5w8eRKhoaFvdeauVMOl1q1bh759+6JXr144dOhQpZ/vevfuXcyZMwfm5uaIiYlBSEgIEhMT0bt37zKvUVhYiIiICIwcORItW7aEn58fhgwZgtTUVNUt3xV1TBQRkbrxHFwiIqIKkJeXh/Xr1+PHH39ETk4ORo0ahTlz5qB9+/ZSR8O2bdswfvx4DBo0CJs3b0bt2rXfeC0PDw/s2rUL586dg6GhYZnfl52djfPnz+PixYs4evQogoODoa+vjzt37qDknyIWFhY4f/78a9eaOnUqmjVrhkmTJsHY2BgA0K1bN7Rr1w5BQUFvdmHlVFxcjG+//RZLlizB7NmzsXjx4kp93jY/Px8///wz/vvf/0JPTw/z58+Hm5sbNDU1y7zGhQsXsGHDBmzYsAF37txB37594e7ujmHDhkFLS0uN6YmI1CYEgoiIiCpMQUGBCAwMFO3btxcymUw4ODiI+Ph4qWOJQ4cOiYYNG4oePXqInJycN17nwYMHwsTEREyZMuW57xcVFYlff/1VXL169YX3zJgxQwAQAISmpqbQ1tZW/bnkS0NDQzg7O5cpg5aWlpDJZEIul4uhrC5eyAAAGclJREFUQ4eKVatWCQAiLi7uja+rPB4+fCgcHBxErVq1xKZNmyqlZomCggKxZs0aYWxsLPT09IS3t7d4+PBhmd//5MkTERoaKuzt7YVMJhMmJibC29tbpKenqy80EVHlCeYtykRERBWoZPJyamoqdu3ahfv378POzg5WVlYICgqSbPKyjY0NYmJicOPGDdjY2LzxFGMDAwP8/PPP+PXXX3HgwAEAzwYbWVpaws3NDatXr37hPX+/XVahUKCwsPCF12hqasLS0vK19RUKBYqKiiCEQHFxMfbs2YOpU6dCT08Pv//+O65du/ZG11VWly9fRvfu3ZGSkoLY2FiMGzdOrfVKKBQKrFu3DmZmZpg+fTrGjBmD9PR0+Pj4lGkycnJyMry8vGBiYoJx48bB0NAQu3btQkZGBnx8fMo9hIqIqKriLcpERERqFh8fj2XLlmHHjh1o1aoVpk2bBnd397e6VfhN3bx5Ew4ODrh69Sp2794NGxubN1pnyJAhuHDhAgYOHIjly5dDLpejqKgIPXr0QEJCwguv79GjB5KTk6FQKF665p49ezBo0KBX1s3NzUW9evVK/ZmmpiaEEHBwcMD06dPx0UcfleuaXicuLg4jRoxAs2bNsGvXLjRv3rxC1y+NEALbtm3D3LlzkZ6ejkmTJmHevHkwMTF57Xtzc3OxdetWrF69GsePH4eFhQUmTZqESZMmoXHjxmrPTkQkgRA2uERERJXk8uXLWL58OQICAmBgYABPT094eXmV61nWipCfnw8XFxf89ddfCA4OhqOjY7nXCAwMxKxZs/DgwYPnmlYtLS3k5eVBR0fnudfHx8e/drpwVlYWmjZt+srXZGdnv7a5k8lk0NXVRW5uLuRy+WuupGwCAgLwxRdfYPjw4diwYQN0dXUrZN1XiYqKwuzZs3Hy5EmMGDECixYtgpmZ2Wvfl5ycjICAAGzevBlKpRKOjo5wd3dHv379Kn3CNBFRJQvhLcpERESVpE2bNvD398fVq1fh6emJZcuWqSYvq/vW2r+rU6cOwsPDMWHCBAwfPhwrV6586WtTU1Of+/OtW7cwbtw4TJw4Effu3XthR7aoqAgpKSkvrGNnZ4cBAwa8dAhSvXr1XtvcAs+OAyqLoKCgCmluFQoFvLy84OnpiW+++QYhISFqb27j4+PRu3dv1Vm2ycnJCA0NfWVze/PmTfj6+sLMzAxWVlZITk7G4sWLkZWVhdDQUNjb27O5JaKaQcIHgImIiGq0hw8fCj8/P9GsWTOhra0txo8fL06fPl2pGfz8/ISGhob48ssvRXFx8XM/8/HxEQDEjh07hBBChIWFCX19faGlpfXCkKiSLy0tLbFkyZJSa506dUrIZLJS39enT58y5U1JSXlpbQBCJpOJpUuXlvn6L1++LMaOHSvu37//ws/u3r0r+vXrJ+rUqaP6DNQpISFB9O3bVwAQAwYMEMeOHXvl64uLi0VkZKRwdnYWWlpawsDAQLi7u4uUlBS1ZyUiqqKC2eASERFJ7J+Tl+3t7cXu3bsrrX5oaKioVauW+OSTT8STJ0+EEEJs2bJFyGQyIZPJRMuWLUVBQYHw9PR8ZXOJ/5uG7Ojo+NJao0ePfqFB1tbWFrNmzSpT1ri4uFfW9vDwKNe1lzSU9vb2QqFQqL5/8eJF0bZtW2FiYiKSkpLKtWZ5nThxQjg7OwuZTCasra1FdHT0K19/7do14ePjI1q2bCkAiA8++ECsWbNG5OfnqzUnEdE7gA0uERFRVaFUKsXu3buFvb29ACC6du0qAgMDn2u81OXAgQOiXr16wsbGRuzevVt1FA8AIZfLxY8//iiUSqXw8fERMplMaGhovLTRNDAwEEqlstQ66enpLzS4GhoaZT5uZ9++faXW1NTUFAMHDizXZxUWFqZ6v1wuF9OnTxdCCPHnn3+KevXqCWtra3Hjxo0yr1dex44dE4MHDxYARI8ePcTevXtf+tqnT5+K0NBQ4eDgIORyuTA2Nhbe3t7i0qVLastHRPQOYoNLRERUFSUlJYnx48cLuVwuTE1NhZ+fn3j8+LFaa6ampgo7Ozuhp6cn5HL5cw2knp6euH37thBCiD/++OO1tyqfP3/+pXW++OKLF96bmppapozbt28v9bZoS0tL8ejRozJfa35+vmjatOkLjfqoUaOEXC4Xrq6u4unTp2VerzxOnjyp2rHt3LmzCA0NfekvBM6dOye8vb1Fo0aNhIaGhrC3txehoaGisLBQLdmIiN5xPAeXiIioKvrggw8QFBSECxcuYPDgwfjXv/6FVq1aYcGCBbh3755aajZs2BDp6el4+vTpC+f1FhQUYP78+QCAgQMHIiUlBaampqUOjZLL5Th06NBL68ybN++592lpacHCwqJMGR89egQNjf//54umpiaaNGmCffv2oU6dOmVaAwC+++475OTkQKlUPvf9sLAwTJkyBRs3bnxhEvTbSk1NxciRI2FpaYmLFy9i69atOH78OJydnZ8bAPXkyROEhYWhf//+aNeuHbZs2YLJkycjLS0NkZGRcHZ2hpaWVoVmIyKqLtjgEhERVWGmpqbw9/dHeno6PvvsM7VNXn78+DEGDx6MnJycUs+qLSoqwurVq3H69GkAzyZCp6SkwMXF5YXpvDKZDPHx8S+t1ahRI8yaNUvV5FpYWJS5YcvPz1dNR5bL5dDV1UVUVBSaNGlSpvcDwNmzZ/HTTz+Vep0ymQwhISG4cuVKmdd7nZLGtnPnzrhw4cJLG9vk5GR4eHigSZMmGD9+PAwNDREZGYmMjAz4+PigZcuWFZaJiKi6YoNLRET0DmjSpAkWLFiAjIwMfP/999i5cydMTU0xYcIEVdP5phQKBZycnJCamoqioqKXvk5DQwNfffWV6s+1a9fGpk2bsHr1asjlclXjqVAo8Ndff72y5qxZs6CnpwcA6NatW5mz5ufnq5pCmUyG8PDwMu/+lvjss8+e2wX+u+LiYjx+/BgDBw7Ew4cPy7XuP504cQJOTk7o3Lkzrly5gl27duHEiRPPNbYPHjxAQEAAunTpAisrK8TFxeHbb7/F9evXebwPEdEbYINLRET0DtHX14eXlxcuX76MdevWISUlBZ06dYKdnR0iIiJe+/4DBw7AyckJ9+/fV30vOTkZf/75J4QQr3yvQqHA/v37sX///ue+7+7ujgMHDsDAwEC1E5uRkYGcnJyXrlWnTh1Mnz4dAFS7sDt37kRYWBj27NmDqKgoHDp0CGfOnHkua35+PoqKiiCTybB582b06dPntdf8d8HBwYiLi3tlI19UVIQrV67A1dVV9b3i4mKsXLkSt2/ffm2No0ePwtHREV27dkVGRgbCw8ORlJQER0dHyGQyKJVKxMfHw8PDAyYmJpg1axY6deqEyMhInD17Ft7e3mjYsGG5rouIiP6P1E8BExER0ZtTKpUiMjJSODg4lGny8gcffCAAiA4dOqiGRgnxbKKvm5ubqFWrlpDL5S+dkiyXy4WFhUWp62dkZAhLS0vVe3fu3CkeP34sDh48KJYvXy48PDyEra2tMDY2fuUU5tK+ateuLdq0aSNat24tAAgXFxdx5syZlw5nKk1ubq5o1KjRS8/ixd+GVgEQ/fr1E0IIUVRUJFxcXAQAMW3atJeuHx8fLxwcHIRMJhOWlpYvDI/Kzs4WPj4+wtTU9LnjffLy8sp8DURE9ErBMiFe8+taIiIieiekpKTAz88PW7ZsQcuWLfHll1/C3d0dtWvXBgDExMTgo48+AvBssFOLFi0QGxuLpk2bqtbIy8tDcHAwli9fjtOnT0NLS+uF3U4NDQ2sXLkSnp6eL2R4/PgxRo4ciT179qBZs2bIyclBYWEh6tevj06dOqF9+/awsLCAsbExmjZtiiZNmqB+/frQ0NCAvr4+NDU18fjxYxQUFODp06e4d+8esrOzkZ2djWvXriE6Ohrnz5/HvXv3UFhYiMaNG6Nnz57o06cPhgwZgubNm7/085k5cyaWL19e6rO32traqvUmTZqEyZMnw9zcHAqFAqNHj8bOnTtRXFwMHR0duLm5Ydq0aWjbti0AID4+Hr6+vvj9999ha2sLb29vODo6Ani28/vXX38hICAAO3fuhJ6eHkaOHImpU6eic+fO5fsLJiKi1wlhg0tERFTNXLlyBcuWLcPatWuhr6+Pzz77DF9++SXGjh2L6OhoVcOqpaWFZs2aITY2Fs2aNXthneTkZKxZswabNm1CUVERlEql6jZmQ0NDpKenw8DAAMCzJu+3337Drl27cOPGDTRu3BjdunWDi4sLevXqhRYtWlToNSoUChw/fhyxsbGIiYlBTEwM8vLyYGVlhREjRmDChAkwNjZWvf7MmTPo3Lnzc9OhS57D1dTUhKOjI1xdXTFo0CDVs8RFRUUYOXIkIiIiVO+TyWQQQmDixIlwc3PDvHnz8Ndff73Q2F66dAm//fYbNmzYgOvXr8Pa2hoTJkzA+PHjVb9wICKiCscGl4iIqLq6ceMGli1bhtWrV6O4uBiPHj164TlbLS0tNGrUCLGxsTA1NS11nQcPHmDTpk1YsWIFLl68CE1NTSgUCkyfPh1t2rRRTVfu3LkzRowYgeHDh6Njx46VcYkqhYWFiI6Oxs6dO7Fz507k5uZiyJAh8PT0RL9+/WBra4sjR45AqVRCU1MTxcXF6NWrF9zc3ODk5PTCEUOFhYUYOXIkfv/99xeOTAKeNcdKpRKDBg3C3LlzYW1tjYKCAuzevRsBAQGIjo6GsbExxo8fD3d3d7Ru3bqyPgoiopqMDS4REVF1l5eXhyFDhuDQoUOlDlfS0tJCgwYNEBsbCzMzs1eudejQISxfvhzbtm2DUqmEjo4OHB0d4e7uDnt7e3VdQrkUFhZi165dqkazefPmyMzMBPDs2CU3NzeMGzfupbczFxYWYsSIEdi7d2+pzW2JuXPnYuHChTh79iyCgoLw66+/4v79++jTpw/c3d0xfPjwUs8JJiIitWGDS0REVN1lZWWhVatWpT57WkJLSwt169bFwYMHX7r7WlxcjNWrV2PevHlQKBQYPHgwVq5cCUNDQ3VFf2tJSUn44osvcOTIEXTs2BEbN27EBx988NLXFxYWwsnJCX/++ecrPy/gWbNcv359HDt2DGZmZnBzc4OrqyuMjIwq+jKIiKhsQnhMEBERUTW3dOnS156lWlRUhNzcXPTq1QsnT5584edJSUno3r07ZsyYgSlTpuDq1avYsmVLlW5uAcDKygqJiYlITk5G/fr10b17d3z++efIzc194bUFBQUYNmxYmZpb4Nmzzk2aNMHBgwdx4cIFeHt7s7klIpIYG1wiIqJq7MGDB1i1atUrz30toVAokJeXh969eyM5ORkAoFQq4ePjAxsbG+jp6eHEiRPw9fWt8o3tP3Xt2hUHDx7Ehg0bsH37dlhaWiIxMVH188ePH+Pjjz9GVFRUmZpb4NnAKVNTU/Tu3fu1v0AgIqLKwVuUiYiIqrGjR4/CxsbmuWdJ5XI5NDU1oVQqS218NTQ0oKuri23btuHHH39EbGwsFi9ejJkzZ1aLRu727dtwdXVFVFQUfvjhB3h6euLjjz9GYmJimZvbEnXq1MHdu3eho6OjprRERFQOfAaXiIioulMoFMjJycGNGzdw48YN3Lp1C9nZ2cjJycH169dx/fp1ZGdn486dOygsLFS9T0NDA82aNcP27dthZWUl4RVUPCEEfvzxR/zrX/9C48aNcePGDdVk5PKQyWTYunUrnJ2d1ZSUiIjKgQ0uERER/b/c3FwcPnwYEyZMgIGBAWJjY9G0aVOpY6nNtm3b4OLigoYNG+LOnTulTk3W1NSETCZTfZVQKpVQKBQYPnw4tm/fXpmxiYiodGxwiYiI6P9lZ2fD1tYWRkZG2LdvHwwMDKSOpHYxMTHo378/9PT0YGJignr16kEul6N+/frQ1NSEvr7+K//bvXt3dO7cWerLICIiNrhERERUIj8/H9bW1iguLkZsbCwaNGggdaRK8/vvv2P48OGYN28e/v3vf0sdh4iI3gyPCSIiIqJnZsyYgezsbOzdu7dGNbcA4ODgAH9/f3z33XeIjY2VOg4REb0h7uASERERwsPD4eTkhB07dmDYsGFSx5GMk5MTkpKSkJqaWiNuzyYiqmZ4izIREVFNV1BQgHbt2qFnz54IDAyUOo6k7t69CwsLC3z66af44YcfpI5DRETlw1uUiYiIaroVK1bg1q1bWLx4sdRRJNegQQPMnTsX/v7+uHbtmtRxiIionNjgEhER1WDFxcXw8/PD559/DhMTE6njVAlTp05FgwYNsGrVKqmjEBFRObHBJSIiqsH279+PrKwsuLu7Sx2lytDW1sbEiROxceNGKBQKqeMQEVE5sMElIiKqwUJCQmBra4s2bdpIHaVKmTRpEm7evImYmBipoxARUTmwwSUiIqrB4uLi0L9/f6ljVDmtW7dG69atER8fL3UUIiIqBza4RERENdStW7eQnp4Oa2tryTJs3rwZurq6kMlk8PHxUd0S/Ntvv0FbW1vSqc42NjZISEiQrD4REZUfG1wiIqIaKiMjAwBgYWEhWYZx48Zh5syZAABHR0doamoCAHr27InBgwfD1dVVsmzm5ua4evWqZPWJiKj82OASERHVUHfu3AHw7GgcKc2YMQN6enpYunSp6nu//fYb3NzcJEz17HO5e/eupBmIiKh82OASERHVUE+ePAEA1KpVS9IcDRo0wLRp0xAUFISsrCwIIRAdHY2PP/5Y0lx6enrIz8+XNAMREZUPG1wiIqIaytDQEADw4MEDiZMAM2fOhLa2NpYuXYrk5GR8+OGHqtuVpXL37l3Ur19f0gxERFQ+0v6fg4iIiCRTcmvy7du3Jb9NuWHDhvjss8+wevVq5OTkYN68eZLmAarG50JEROXDHVwiIqIaytzcHNra2jh+/LjUUQAAX331FQoLC5GZmVklzuVNSUlBp06dpI5BRETlwAaXiIiohqpduzYsLS1x+PBhqaMAAIyMjNC/f3/Jh0sBgFKpxJEjRyQ9QomIiMqPDS4REVEN1q9fP0RERECpVEodBfn5+Th//jxGjBghdRQcPHgQDx48QN++faWOQkRE5cAGl4iIqAabOHEiMjMzER0dLXUUrFy5EtOmTYOurq7UUfDrr7+iR48eaNeundRRiIioHGRCCCF1CCIiIpJOz549oa+vjz/++KPSaycmJsLd3R2PHz9GcXExzp8/Dx0dnUrP8XeZmZmwsLDAihUrqsTt0kREVGYh3MElIiKq4RYuXIi9e/ciKiqq0mvXqVMHDx8+hIaGBrZs2SJ5cwsAc+fOhbGxMcaNGyd1FCIiKifu4BIREREGDx6Ma9eu4dixY1WiyZTK4cOH0bNnT2zZsgWjRo2SOg4REZVPCBtcIiIiQlpaGrp06YLJkydj6dKlUseRRG5uLrp06YK2bdtiz549kMlkUkciIqLy4S3KREREBLRu3RqrVq2Cv78/tm3bJnWcSldcXAxXV1c8ffoUgYGBbG6JiN5RmlIHICIioqph7NixOHLkCMaNG4cGDRqgT58+UkeqNFOnTsX+/fsRGRmJRo0aSR2HiIjeEHdwiYiISMXPzw/Dhw/HsGHDEBMTI3UctVMqlZgxYwbWr1+PkJAQ2NraSh2JiIjeAhtcIiIiUtHQ0EBgYCA+/vhjDBgwAKGhoVJHUpuCggKMHTsWq1atwqZNmzBkyBCpIxER0Vtig0tERETP0dbWRnBwMDw9PTF69Gh88803UCgUUseqUFevXsVHH32EvXv3Yu/evXBxcZE6EhERVQA2uERERPQCDQ0N+Pn5Yc2aNfD390evXr2QlpYmdawKERoaii5duiA/Px8JCQno27ev1JGIiKiCsMElIiKil5oyZQqOHTuGR48eoWPHjvj+++9RUFAgdaw3cuXKFQwePBguLi5wcXHBkSNH0K5dO6ljERFRBWKDS0RERK/Uvn17JCcnY/78+fDx8UGnTp2wZcsWFBcXSx2tTHJycjB79mx07NgRmZmZ+Ouvv/DLL7+gdu3aUkcjIqIKxgaXiIiIXktLSwve3t44d+4crK2t4erqio4dOyIoKAhPnz6VOl6pMjMz8fXXX6N169YICgqCj48PUlJS0Lt3b6mjERGRmsiEEELqEERERPRuuXTpEr7//nsEBwejbt26cHV1hZubG9q3by9prqKiIuzbtw8BAQHYu3cvGjdujFmzZsHT0xO6urqSZiMiIrULYYNLREREb+zmzZtYv3491q5di6tXr6Jdu3YYMWIEhg0bBktLS8jlcrVnyMvLw4EDB7Bjxw5ERETgwYMH6NevHzw8PDB06FBoaWmpPQMREVUJbHCJiIjo7SmVSsTHx2PHjh3YuXMnMjMzYWBgADs7O/Ts2RNdu3ZFhw4d0LRp07eqo1AocPHiRZw+fRqJiYmIi4vDiRMnoFQqYWNjAycnJzg5OaFly5YVdGVERPQOYYNLREREFUsIgdOnTyMmJgZxcXGIj49HdnY2AKB+/fowNzeHsbExmjVrhiZNmqBu3brQ0dGBrq4udHR0kJeXB4VCgby8POTm5uL69eu4desWMjIycOnSJRQWFkJTUxPt27dH79690atXL/Tq1QuNGzeW+MqJiEhibHCJiIhI/e7evYtTp07h7NmzuHz5Mm7evInr168jJycHDx8+REFBAfLz81FYWAg9PT1oaWlBX18fdevWhYmJCYyMjNC8eXO0bdsWHTp0QLt27aCjoyP1ZRERUdXCBpeIiIiIiIiqhRAeE0RERERERETVAhtcIiIiIiIiqhbY4BIREREREVG1oAkgTOoQRERERERERG/pyP8CxYxwVG9E1fcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(filename=\"causal_model.png\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above causal graph shows the assumptions encoded in the causal model. We can now use this graph to first identify \n",
    "the causal effect (go from a causal estimand to a probability expression), and then estimate the causal effect."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**DoWhy philosophy: Keep identification and estimation separate**\n",
    "\n",
    "Identification can be achieved without access to the data, acccesing only the graph. This results in an expression to be computed. This expression can then be evaluated using the available data in the estimation step.\n",
    "It is important to understand that these are orthogonal steps.\n",
    "\n",
    "* Identification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:dowhy.causal_identifier:If this is observed data (not from a randomized experiment), there might always be missing confounders. Causal effect cannot be identified perfectly.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARN: Do you want to continue by ignoring any unobserved confounders? (use proceed_when_unidentifiable=True to disable this prompt) [y/n] y\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_identifier:Instrumental variables for treatment and outcome:['Z0', 'Z1']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimand type: nonparametric-ate\n",
      "\n",
      "### Estimand : 1\n",
      "Estimand name: backdoor1\n",
      "Estimand expression:\n",
      "  d                                 \n",
      "─────(Expectation(y|W1,W2,W3,W0,W4))\n",
      "d[v₀]                               \n",
      "Estimand assumption 1, Unconfoundedness: If U→{v0} and U→y then P(y|v0,W1,W2,W3,W0,W4,U) = P(y|v0,W1,W2,W3,W0,W4)\n",
      "\n",
      "### Estimand : 2\n",
      "Estimand name: backdoor2 (Default)\n",
      "Estimand expression:\n",
      "  d                                    \n",
      "─────(Expectation(y|W1,W2,W3,W0,W4,X0))\n",
      "d[v₀]                                  \n",
      "Estimand assumption 1, Unconfoundedness: If U→{v0} and U→y then P(y|v0,W1,W2,W3,W0,W4,X0,U) = P(y|v0,W1,W2,W3,W0,W4,X0)\n",
      "\n",
      "### Estimand : 3\n",
      "Estimand name: iv\n",
      "Estimand expression:\n",
      "Expectation(Derivative(y, [Z0, Z1])*Derivative([v0], [Z0, Z1])**(-1))\n",
      "Estimand assumption 1, As-if-random: If U→→y then ¬(U →→{Z0,Z1})\n",
      "Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→{v0}, then ¬({Z0,Z1}→y)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "identified_estimand = model.identify_effect()\n",
    "print(identified_estimand)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you want to disable the warning for ignoring unobserved confounders, you can add a parameter flag ( *proceed\\_when\\_unidentifiable* ). The same parameter can also be added when instantiating the CausalModel object. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:dowhy.causal_identifier:If this is observed data (not from a randomized experiment), there might always be missing confounders. Causal effect cannot be identified perfectly.\n",
      "INFO:dowhy.causal_identifier:Continuing by ignoring these unobserved confounders because proceed_when_unidentifiable flag is True.\n",
      "INFO:dowhy.causal_identifier:Instrumental variables for treatment and outcome:['Z0', 'Z1']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimand type: nonparametric-ate\n",
      "\n",
      "### Estimand : 1\n",
      "Estimand name: backdoor1\n",
      "Estimand expression:\n",
      "  d                                 \n",
      "─────(Expectation(y|W1,W2,W3,W0,W4))\n",
      "d[v₀]                               \n",
      "Estimand assumption 1, Unconfoundedness: If U→{v0} and U→y then P(y|v0,W1,W2,W3,W0,W4,U) = P(y|v0,W1,W2,W3,W0,W4)\n",
      "\n",
      "### Estimand : 2\n",
      "Estimand name: backdoor2 (Default)\n",
      "Estimand expression:\n",
      "  d                                    \n",
      "─────(Expectation(y|W1,W2,W3,W0,W4,X0))\n",
      "d[v₀]                                  \n",
      "Estimand assumption 1, Unconfoundedness: If U→{v0} and U→y then P(y|v0,W1,W2,W3,W0,W4,X0,U) = P(y|v0,W1,W2,W3,W0,W4,X0)\n",
      "\n",
      "### Estimand : 3\n",
      "Estimand name: iv\n",
      "Estimand expression:\n",
      "Expectation(Derivative(y, [Z0, Z1])*Derivative([v0], [Z0, Z1])**(-1))\n",
      "Estimand assumption 1, As-if-random: If U→→y then ¬(U →→{Z0,Z1})\n",
      "Estimand assumption 2, Exclusion: If we remove {Z0,Z1}→{v0}, then ¬({Z0,Z1}→y)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "identified_estimand = model.identify_effect(proceed_when_unidentifiable=True)\n",
    "print(identified_estimand)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Estimation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W1+W2+W3+W0+W4+X0\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** Causal Estimate ***\n",
      "\n",
      "## Identified estimand\n",
      "Estimand type: nonparametric-ate\n",
      "\n",
      "## Realized estimand\n",
      "b: y~v0+W1+W2+W3+W0+W4+X0\n",
      "Target units: ate\n",
      "\n",
      "## Estimate\n",
      "Mean value: 8.937706276657458\n",
      "\n",
      "Causal Estimate is 8.937706276657458\n"
     ]
    }
   ],
   "source": [
    "causal_estimate = model.estimate_effect(identified_estimand,\n",
    "        method_name=\"backdoor.propensity_score_stratification\")\n",
    "print(causal_estimate)\n",
    "print(\"Causal Estimate is \" + str(causal_estimate.value))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can input additional parameters to the estimate_effect method. For instance, to estimate the effect on any subset of the units, you can specify the \"target_units\" parameter which can be a string (\"ate\", \"att\", or \"atc\"), lambda function that filters rows of the data frame, or a new dataframe on which to compute the effect. You can also specify \"effect modifiers\" to estimate heterogeneous effects across these variables. See `help(CausalModel.estimate_effect)`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W1+W2+W3+W0+W4+X0\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** Causal Estimate ***\n",
      "\n",
      "## Identified estimand\n",
      "Estimand type: nonparametric-ate\n",
      "\n",
      "## Realized estimand\n",
      "b: y~v0+W1+W2+W3+W0+W4+X0\n",
      "Target units: atc\n",
      "\n",
      "## Estimate\n",
      "Mean value: 8.98008676434637\n",
      "\n",
      "Causal Estimate is 8.98008676434637\n"
     ]
    }
   ],
   "source": [
    "# Causal effect on the control group (ATC)\n",
    "causal_estimate_att = model.estimate_effect(identified_estimand,\n",
    "        method_name=\"backdoor.propensity_score_stratification\",\n",
    "        target_units = \"atc\")\n",
    "print(causal_estimate_att)\n",
    "print(\"Causal Estimate is \" + str(causal_estimate_att.value))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interface 2: Specify common causes and instruments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:dowhy.causal_model:Causal Graph not provided. DoWhy will construct a graph based on data inputs.\n",
      "INFO:dowhy.causal_graph:If this is observed data (not from a randomized experiment), there might always be missing confounders. Adding a node named \"Unobserved Confounders\" to reflect this.\n",
      "INFO:dowhy.causal_model:Model to find the causal effect of treatment ['v0'] on outcome ['y']\n"
     ]
    }
   ],
   "source": [
    "# Without graph                                       \n",
    "model= CausalModel(                             \n",
    "        data=df,                                      \n",
    "        treatment=data[\"treatment_name\"],             \n",
    "        outcome=data[\"outcome_name\"],                 \n",
    "        common_causes=data[\"common_causes_names\"],\n",
    "        effect_modifiers=data[\"effect_modifier_names\"])                         "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.view_model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(filename=\"causal_model.png\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get the same causal graph. Now identification and estimation is done as before."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:dowhy.causal_identifier:If this is observed data (not from a randomized experiment), there might always be missing confounders. Causal effect cannot be identified perfectly.\n",
      "INFO:dowhy.causal_identifier:Continuing by ignoring these unobserved confounders because proceed_when_unidentifiable flag is True.\n",
      "INFO:dowhy.causal_identifier:Instrumental variables for treatment and outcome:[]\n"
     ]
    }
   ],
   "source": [
    "identified_estimand = model.identify_effect(proceed_when_unidentifiable=True)                         "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Estimation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** Causal Estimate ***\n",
      "\n",
      "## Identified estimand\n",
      "Estimand type: nonparametric-ate\n",
      "\n",
      "## Realized estimand\n",
      "b: y~v0+W2+W3+W0+W1+W4\n",
      "Target units: ate\n",
      "\n",
      "## Estimate\n",
      "Mean value: 9.124260741049653\n",
      "\n",
      "Causal Estimate is 9.124260741049653\n"
     ]
    }
   ],
   "source": [
    "estimate = model.estimate_effect(identified_estimand,\n",
    "                                 method_name=\"backdoor.propensity_score_stratification\")         \n",
    "print(estimate)\n",
    "print(\"Causal Estimate is \" + str(estimate.value))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Refuting the estimate\n",
    "\n",
    "Let us now look at ways of refuting the estimate obtained."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding a random common cause variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4+w_random\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Add a Random Common Cause\n",
      "Estimated effect:9.124260741049653\n",
      "New effect:9.13487620983324\n",
      "\n"
     ]
    }
   ],
   "source": [
    "res_random=model.refute_estimate(identified_estimand, estimate, method_name=\"random_common_cause\")\n",
    "print(res_random)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding an unobserved common cause variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Add an Unobserved Common Cause\n",
      "Estimated effect:9.124260741049653\n",
      "New effect:8.129085846396725\n",
      "\n"
     ]
    }
   ],
   "source": [
    "res_unobserved=model.refute_estimate(identified_estimand, estimate, method_name=\"add_unobserved_common_cause\",\n",
    "                                     confounders_effect_on_treatment=\"binary_flip\", confounders_effect_on_outcome=\"linear\",\n",
    "                                    effect_strength_on_treatment=0.01, effect_strength_on_outcome=0.02)\n",
    "print(res_unobserved)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Replacing treatment with a random (placebo) variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_refuters.placebo_treatment_refuter:Refutation over 100 simulated datasets of permute treatment\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~placebo+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_refuters.placebo_treatment_refuter:Making use of Bootstrap as we have more than 100 examples.\n",
      "                 Note: The greater the number of examples, the more accurate are the confidence estimates\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Use a Placebo Treatment\n",
      "Estimated effect:9.124260741049653\n",
      "New effect:-0.010832019791737903\n",
      "p value:0.48\n",
      "\n"
     ]
    }
   ],
   "source": [
    "res_placebo=model.refute_estimate(identified_estimand, estimate,\n",
    "        method_name=\"placebo_treatment_refuter\", placebo_type=\"permute\")\n",
    "print(res_placebo)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Removing a random subset of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_refuters.data_subset_refuter:Refutation over 0.9 simulated datasets of size 9000.0 each\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_refuters.data_subset_refuter:Making use of Bootstrap as we have more than 100 examples.\n",
      "                 Note: The greater the number of examples, the more accurate are the confidence estimates\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Use a subset of data\n",
      "Estimated effect:9.124260741049653\n",
      "New effect:9.090515505813006\n",
      "p value:0.37\n",
      "\n"
     ]
    }
   ],
   "source": [
    "res_subset=model.refute_estimate(identified_estimand, estimate,\n",
    "        method_name=\"data_subset_refuter\", subset_fraction=0.9)\n",
    "print(res_subset)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, the propensity score stratification estimator is reasonably robust to refutations.\n",
    "For reproducibility, you can add a parameter \"random_seed\" to any refutation method, as shown below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_refuters.data_subset_refuter:Refutation over 0.9 simulated datasets of size 9000.0 each\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator\n",
      "INFO:dowhy.causal_estimator:b: y~v0+W2+W3+W0+W1+W4\n",
      "/home/amit/python-virtual-envs/env3.6/lib/python3.6/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "INFO:dowhy.causal_refuters.data_subset_refuter:Making use of Bootstrap as we have more than 100 examples.\n",
      "                 Note: The greater the number of examples, the more accurate are the confidence estimates\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Use a subset of data\n",
      "Estimated effect:9.124260741049653\n",
      "New effect:9.084368615909547\n",
      "p value:0.28\n",
      "\n"
     ]
    }
   ],
   "source": [
    "res_subset=model.refute_estimate(identified_estimand, estimate,\n",
    "        method_name=\"data_subset_refuter\", subset_fraction=0.9, random_seed = 1)\n",
    "print(res_subset)"
   ]
  }
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